Exploration Zone Quantitative Classification and Ranking Method and System

Abstract

This invention discloses a method and system for quantitative classification and ranking of exploration zones. The method includes: acquiring source rock data, reservoir data, and caprock data corresponding to each exploration zone; determining the oil source index corresponding to each exploration zone based on the source rock data; determining the reservoir index corresponding to each exploration zone based on the reservoir data; determining the caprock index corresponding to each exploration zone based on the caprock data; determining a preset classification corresponding to each exploration zone based on the oil source index, reservoir index, and caprock index; and ranking each exploration zone based on the ranking information corresponding to each preset classification and the oil source index, reservoir index, and caprock index corresponding to each exploration zone. This invention quantitatively classifies and ranks exploration zones based on source rock data, reservoir data, and caprock data, thereby improving the accuracy of exploration zone classification and ranking results and enhancing the effectiveness of exploration deployment.

Description

Technical Field

[0001] This invention relates to the field of geological research technology, and more specifically, to a method and system for quantitative classification and sorting of exploration zones. Background Technology

[0002] Exploration zones are areas within oil and gas basins that share similar geological origins and possess oil and gas exploration potential; they are important exploration deployment units. The classification and ranking of exploration zones have always been a crucial component of basin resource potential assessment. The ranking results of exploration zones influence short-term and medium-to-long-term exploration planning and the formulation of exploration strategies.

[0003] For a long time, the classification and ranking of exploration zones has been mainly based on qualitative analysis, often using a method of overlaying source rock distribution maps, reservoir distribution maps, and caprock distribution maps to qualitatively select favorable exploration zones. This kind of qualitative classification and ranking of exploration zones is usually guided by the subjective opinions of the evaluators. Different evaluators have different results in classifying and ranking the same zone, which makes it difficult to make decisions when deploying exploration and results in poor exploration effectiveness after deployment.

[0004] Therefore, how to more accurately classify and sort exploration zones is an urgent problem to be solved in this field. Summary of the Invention

[0005] In order to solve at least one of the technical problems in the background art, the present invention proposes a quantitative classification and sorting method and system for exploration zones.

[0006] To achieve the above objectives, according to one aspect of the present invention, a method for quantitative classification and ranking of exploration zones is provided, the method comprising:

[0007] Acquire source rock data, reservoir data, and caprock data for each exploration zone;

[0008] Based on the source rock data, the corresponding oil source index for each exploration zone is determined;

[0009] The reservoir index corresponding to each exploration zone is determined based on the reservoir data.

[0010] The caprock index corresponding to each exploration zone is determined based on the caprock data.

[0011] The preset classification corresponding to each exploration zone is determined based on the oil source index, the reservoir index, and the caprock index.

[0012] The exploration zones are sorted according to the sorting information corresponding to each preset category and the oil source index, reservoir index and caprock index corresponding to each exploration zone.

[0013] Optionally, the source rock data includes: the average thickness of source rocks within the exploration zone, the average thickness of source rocks in the main hydrocarbon-generating depressions of the basin, the maximum distance between the zero-value point of source rock thickness in the hydrocarbon-supplying depressions of the exploration zone and the maximum value point of source rock thickness, and the maximum distance between the outer edge of the exploration zone and the maximum value point of source rock thickness.

[0014] The determination of the corresponding oil source index for each exploration zone based on the source rock data includes:

[0015] The oil source thickness index is calculated based on the average thickness of source rocks in the exploration zone and the average thickness of source rocks in the main hydrocarbon-generating depressions of the basin.

[0016] The oil source distance index is calculated based on the maximum distance between the zero-thickness point and the maximum-thickness point of the source rock in the hydrocarbon supply depression of the exploration zone, and the maximum distance between the outer edge of the exploration zone and the maximum-thickness point of the source rock.

[0017] The oil source index is calculated based on the oil source thickness index and the oil source distance index.

[0018] Optionally, the reservoir data includes: the average reservoir thickness within the exploration zone, the average reservoir thickness within the basin, the axial distance of the sedimentary facies zone where the exploration zone is located, and the distance from the midpoint of the exploration zone to the near-source edge of the sedimentary facies zone.

[0019] The step of determining the reservoir index corresponding to each exploration zone based on the reservoir data includes:

[0020] The reservoir thickness index is calculated based on the average reservoir thickness within the exploration zone and the average reservoir thickness within the basin.

[0021] The reservoir distance index is calculated based on the axial distance of the sedimentary facies zone where the exploration zone is located and the distance from the midpoint of the exploration zone to the near-source edge of the sedimentary facies zone.

[0022] The reservoir index is calculated based on the reservoir thickness index and the reservoir distance index.

[0023] Optionally, the caprock data includes: the average thickness of the caprock within the exploration zone, the average thickness of the caprock within the basin, the thickness of the lithology with sealing capacity within the caprock segment of the exploration zone, and the total thickness of the caprock segment.

[0024] The step of determining the caprock index corresponding to each exploration zone based on the caprock data includes:

[0025] The cap layer thickness index is calculated based on the average thickness of the cap layer in the exploration zone and the average thickness of the cap layer in the basin.

[0026] The caprock lithology index is calculated based on the thickness of the caprock within the caprock section of the exploration area and the total thickness of the caprock section.

[0027] The caprock index is calculated based on the caprock thickness index and the caprock lithology index.

[0028] Optionally, the preset classification includes: confirmed exploration zones, potential exploration zones, speculative exploration zones, and invalid exploration zones;

[0029] The step of determining the preset classification corresponding to each exploration zone based on the oil source index, the reservoir index, and the caprock index includes:

[0030] If the source oil index, reservoir index, and caprock index of the exploration zone are all greater than 0, then the exploration zone is determined to be a confirmed exploration zone.

[0031] If any two of the oil source index, reservoir index, and caprock index of the exploration zone are greater than 0, then the exploration zone is determined to be a potential exploration zone.

[0032] If only one of the oil source index, reservoir index, and caprock index of the exploration zone is greater than 0, then the exploration zone is determined to be a speculative exploration zone.

[0033] If the oil source index, reservoir index, and caprock index of an exploration zone are all equal to 0, then the exploration zone is determined to be an invalid exploration zone.

[0034] Optionally, the step of sorting each exploration zone according to the sorting information corresponding to each preset category and the oil source index, reservoir index, and caprock index corresponding to each exploration zone includes:

[0035] Sort each exploration zone according to the sorting information corresponding to each preset category;

[0036] Based on the oil source index, reservoir index and caprock index corresponding to each exploration zone, the potential index corresponding to each exploration zone is calculated, and the exploration zones in each preset category are sorted according to the potential index.

[0037] Optionally, the step of calculating the potential index corresponding to each exploration zone based on the source oil index, reservoir index, and caprock index corresponding to each exploration zone includes:

[0038] Multiply all non-zero indices among the oil source index, reservoir index, and caprock index corresponding to each exploration zone to obtain the potential index corresponding to each exploration zone.

[0039] To achieve the above objectives, according to another aspect of the present invention, a quantitative classification and ranking system for exploration zones is provided, the system comprising:

[0040] The information loading unit is used to acquire the source rock data, reservoir data, and caprock data corresponding to each exploration zone;

[0041] The oil source index calculation unit is used to determine the corresponding oil source index for each exploration zone based on the source rock data.

[0042] The reservoir index calculation unit is used to determine the reservoir index corresponding to each exploration zone based on the reservoir data.

[0043] The caprock index calculation unit is used to determine the caprock index corresponding to each exploration zone based on the caprock data.

[0044] The exploration zone quantitative classification unit is used to determine the preset classification corresponding to each exploration zone based on the oil source index, the reservoir index, and the caprock index.

[0045] The exploration zone quantitative ranking unit is used to rank each exploration zone according to the ranking information corresponding to each preset category and the oil source index, reservoir index and caprock index corresponding to each exploration zone.

[0046] Optionally, the source rock data includes: the average thickness of source rocks within the exploration zone, the average thickness of source rocks in the main hydrocarbon-generating depressions of the basin, the maximum distance between the zero-value point of source rock thickness in the hydrocarbon-supplying depressions of the exploration zone and the maximum value point of source rock thickness, and the maximum distance between the outer edge of the exploration zone and the maximum value point of source rock thickness.

[0047] The oil source index calculation unit includes:

[0048] The oil source thickness index calculation module is used to calculate the oil source thickness index based on the average thickness of source rocks in the exploration zone and the average thickness of source rocks in the main hydrocarbon-generating depressions of the basin.

[0049] The oil source distance index calculation module is used to calculate the oil source distance index based on the maximum distance between the zero point of the source rock thickness in the hydrocarbon supply depression of the exploration zone and the maximum point of the source rock thickness, as well as the maximum distance between the outer edge of the exploration zone and the maximum point of the source rock thickness.

[0050] The oil source index calculation module is used to calculate the oil source index based on the oil source thickness index and the oil source distance index.

[0051] Optionally, the reservoir data includes: the average reservoir thickness within the exploration zone, the average reservoir thickness within the basin, the axial distance of the sedimentary facies zone where the exploration zone is located, and the distance from the midpoint of the exploration zone to the near-source edge of the sedimentary facies zone.

[0052] The reservoir index calculation unit includes:

[0053] The reservoir thickness index calculation module is used to calculate the reservoir thickness index based on the average reservoir thickness in the exploration zone and the average reservoir thickness in the basin.

[0054] The reservoir distance index calculation module is used to calculate the reservoir distance index based on the axial distance of the sedimentary facies zone where the exploration zone is located and the distance from the midpoint of the exploration zone to the near source edge of the sedimentary facies zone.

[0055] The reservoir index calculation module is used to calculate the reservoir index based on the reservoir thickness index and the reservoir distance index.

[0056] Optionally, the caprock data includes: the average thickness of the caprock within the exploration zone, the average thickness of the caprock within the basin, the thickness of the lithology with sealing capacity within the caprock segment of the exploration zone, and the total thickness of the caprock segment.

[0057] The cap layer index calculation unit includes:

[0058] The caprock thickness index calculation module is used to calculate the caprock thickness index based on the average thickness of the caprock in the exploration zone and the average thickness of the caprock in the basin.

[0059] The caprock lithology index calculation module is used to calculate the caprock lithology index based on the thickness of the lithology with sealing capacity within the caprock section of the exploration area and the total thickness of the caprock section.

[0060] The caprock index calculation module is used to calculate the caprock index based on the caprock thickness index and the caprock lithology index.

[0061] Optionally, the preset classification includes: confirmed exploration zones, potential exploration zones, speculative exploration zones, and invalid exploration zones;

[0062] The exploration zone quantitative classification unit includes:

[0063] The first classification module is used to determine an exploration zone as a confirmed exploration zone if the source oil index, reservoir index, and caprock index of the exploration zone are all greater than 0.

[0064] The second classification module is used to determine that if any two of the oil source index, reservoir index and caprock index of the exploration zone are greater than 0, the exploration zone is a potential exploration zone.

[0065] The third classification module is used to determine that if only one of the oil source index, reservoir index and caprock index of the exploration zone is greater than 0, the exploration zone is a speculative exploration zone.

[0066] The fourth classification module is used to determine an exploration zone as an invalid exploration zone if the oil source index, reservoir index, and caprock index of the exploration zone are all equal to 0.

[0067] Optionally, the exploration zone quantification and sorting unit includes:

[0068] The first sorting module is used to sort each exploration zone according to the sorting information corresponding to each preset category;

[0069] The second sorting module is used to calculate the potential index corresponding to each exploration zone based on the oil source index, reservoir index and caprock index corresponding to each exploration zone, and sort the exploration zones in each preset category according to the potential index.

[0070] Optionally, the second sorting module includes:

[0071] The potential index calculation submodule is used to multiply all non-zero indices among the oil source index, reservoir index, and caprock index corresponding to each exploration zone to obtain the potential index corresponding to each exploration zone.

[0072] To achieve the above objectives, according to another aspect of the present invention, a computer device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps in the above-described exploration zone quantitative classification and sorting method.

[0073] To achieve the above objectives, according to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium storing a computer program that, when executed in a computer processor, implements the steps in the above-described exploration zone quantitative classification and sorting method.

[0074] The beneficial effects of this invention are as follows: Based on the quantitative analysis of three hydrocarbon source rock data, reservoir data and caprock data, this invention quantitatively classifies and sorts exploration zones, thereby improving the accuracy of exploration zone classification and sorting results and enhancing the effectiveness of exploration deployment. Attached Figure Description

[0075] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0076] Figure 1This is a flowchart of the quantitative classification and sorting method for exploration zones according to an embodiment of the present invention;

[0077] Figure 2 This is a flowchart illustrating the calculation of the oil source index according to an embodiment of the present invention;

[0078] Figure 3 This is a flowchart illustrating the calculation of reservoir indices according to an embodiment of the present invention;

[0079] Figure 4 This is a flowchart illustrating the calculation of the cap layer index according to an embodiment of the present invention;

[0080] Figure 5 This is a flowchart illustrating the quantitative classification of exploration zones according to an embodiment of the present invention;

[0081] Figure 6 This is a flowchart illustrating the quantitative sorting of exploration zones according to an embodiment of the present invention;

[0082] Figure 7 This is a schematic diagram of source rock data from an embodiment of the present invention;

[0083] Figure 8 This is a schematic diagram of the reservoir data according to an embodiment of the present invention;

[0084] Figure 9 This is a schematic diagram of the capping layer data according to an embodiment of the present invention;

[0085] Figure 10 This is a schematic diagram of a preset type in an embodiment of the present invention;

[0086] Figure 11 This is a schematic diagram of zone quantization sorting according to an embodiment of the present invention;

[0087] Figure 12 This is a structural block diagram of the exploration zone quantitative classification and sorting system according to an embodiment of the present invention;

[0088] Figure 13 This is a schematic diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0089] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0090] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0091] It should be noted that the terms "comprising" and "having" and any variations thereof in the specification, claims and accompanying drawings of this invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such processes, methods, products or devices.

[0092] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0093] This invention provides a method for quantitative classification and ranking of exploration zones. The purpose is to quantitatively classify and rank exploration zones based on the quantitative analysis of three hydrocarbon source rocks, reservoirs, and caprocks, thereby improving the accuracy of the classification and ranking results and enhancing the effectiveness of exploration deployment.

[0094] Figure 1 This is a flowchart of the quantitative classification and sorting method for exploration zones according to an embodiment of the present invention, as shown below. Figure 1 As shown, the exploration zone quantitative classification and sorting method of this embodiment includes steps S101 to S106.

[0095] Step S101: Obtain the source rock data, reservoir data, and caprock data corresponding to each exploration zone.

[0096] Step S102: Determine the corresponding oil source index for each exploration zone based on the source rock data.

[0097] Step S103: Determine the reservoir index corresponding to each exploration zone based on the reservoir data.

[0098] Step S104: Determine the corresponding caprock index for each exploration zone based on the caprock data.

[0099] Step S105: Determine the preset classification corresponding to each exploration zone based on the oil source index, the reservoir index, and the caprock index.

[0100] Step S106: Sort each exploration zone according to the sorting information corresponding to each preset category and the oil source index, reservoir index and caprock index corresponding to each exploration zone.

[0101] In one embodiment of the present invention, the source rock data includes: the average thickness of source rocks within the exploration zone, the average thickness of source rocks in the main hydrocarbon-generating depressions of the basin, the maximum distance between the zero-value point of the source rock thickness in the hydrocarbon-supplying depressions of the exploration zone and the maximum value point of the source rock thickness, and the maximum distance between the outer edge of the exploration zone and the maximum value point of the source rock thickness. Figure 2 This is a flowchart of the calculation of the oil source index according to an embodiment of the present invention, such as... Figure 2 As shown, step S102 above, which determines the corresponding oil source index for each exploration zone based on the source rock data, specifically includes steps S201 to S203.

[0102] Step S201: Calculate the oil source thickness index based on the average thickness of the source rocks in the exploration zone and the average thickness of the source rocks in the main hydrocarbon-generating depressions of the basin.

[0103] Step S202: Calculate the oil source distance index based on the maximum distance between the zero-thickness point and the maximum-thickness point of the source rock in the hydrocarbon supply depression of the exploration zone, and the maximum distance between the outer edge of the exploration zone and the maximum-thickness point of the source rock.

[0104] Step S203: Calculate the oil source index based on the oil source thickness index and the oil source distance index.

[0105] In this embodiment of the invention, the oil source index (I) O ) is determined by the oil source thickness index (I Ot ) and oil source distance index (I Od Composed of, optional I O =I Ot ×I Od Among them, the oil source thickness index (I) Ot ) is defined as the average thickness (T) of source rocks within a certain exploration zone. op ) and the average thickness of source rocks in the main hydrocarbon-generating depressions of the basin (T) or The ratio of ) to I Ot =T op / T or Oil source distance index (I) Od ) is defined as the maximum distance (D) between the zero-thickness point and the maximum-thickness point of the source rock in a hydrocarbon-supplying depression of a certain exploration zone. or Divide by the maximum distance (D) between the outer edge of the exploration zone and the point with the maximum thickness of the source rock. op ), i.e. I od =D or / D opThen the oil source index I O =I Ot ×I Od =(T op / T or )×(D or / D op ), I O ≥0, oil source index (I O The higher the value, the better the oil source conditions in the exploration area.

[0106] In one embodiment of the present invention, the reservoir data includes: the average reservoir thickness within the exploration zone, the average reservoir thickness within the basin, the axial distance of the sedimentary facies zone where the exploration zone is located, and the distance from the midpoint of the exploration zone to the near-source edge of the sedimentary facies zone. Figure 3 This is a flowchart of the calculation of reservoir index according to an embodiment of the present invention, as shown below. Figure 3 As shown, step S103, which determines the reservoir index corresponding to each exploration zone based on the reservoir data, specifically includes steps S301 to S303.

[0107] Step S301: Calculate the reservoir thickness index based on the average reservoir thickness within the exploration zone and the average reservoir thickness within the basin.

[0108] Step S302: Calculate the reservoir distance index based on the axial distance of the sedimentary facies zone where the exploration zone is located and the distance from the midpoint of the exploration zone to the near-source edge of the sedimentary facies zone.

[0109] Step S303: Calculate the reservoir index based on the reservoir thickness index and the reservoir distance index.

[0110] In this embodiment of the invention, the reservoir index (I) R ) is determined by the reservoir thickness index (I Rt ) and reservoir distance index (I Rd Composed of, optional I R =I Rt ×I Rd Among them, the reservoir thickness index (I) Rt ) is defined as the average thickness of the reservoir within a certain exploration zone (T) rp ) and the average thickness of reservoirs within the basin (T) rr The ratio of ) to I Rt =T rp / T rr Considering that reservoir properties are optimal near the midpoint of the sedimentary facies zone, the reservoir distance index (I) Rd ) is defined as I Rd = (1 / 2 × D) rr -|D rp -1 / 2×D rr|) / (1 / 2×D rr ), D rr Let be the axial distance of the sedimentary facies zone where a certain exploration zone is located, then 1 / 2×D rr D represents the distance between the midpoint of a sedimentary facies zone and the point near the source edge of the sedimentary facies zone. rp Let I be the distance from the midpoint of a certain exploration zone to the near-source edge of the sedimentary facies zone. Then the reservoir index I... R =I Rt ×I Rd =(T rp / T rr )×((1 / 2×D rr -|D rp -1 / 2×D rr |) / (1 / 2×D rr )), I R ≥0, reservoir index (I R The higher the value, the better the reservoir conditions in the exploration zone.

[0111] In one embodiment of the present invention, the caprock data includes: the average thickness of the caprock within the exploration zone, the average thickness of the caprock within the basin, the lithological thickness with sealing capacity within the caprock segment of the exploration zone, and the total thickness of the caprock segment. Figure 4 This is a flowchart of the calculation of the cap layer index according to an embodiment of the present invention, such as... Figure 4 As shown, step S104 above, which determines the corresponding caprock index for each exploration zone based on the caprock data, specifically includes steps S401 to S403.

[0112] Step S401: Calculate the caprock thickness index based on the average thickness of the caprock within the exploration zone and the average thickness of the caprock within the basin.

[0113] Step S402: Calculate the caprock lithology index based on the thickness of the lithology with capping capacity within the caprock section of the exploration area and the total thickness of the caprock section.

[0114] Step S403: Calculate the caprock index based on the caprock thickness index and the caprock lithology index.

[0115] In this embodiment of the invention, the capping index (I) C ) is determined by the caprock thickness index (I Ct ) and caprock lithology index (I Cl ) constitutes, i.e., I C =I Ct ×I Cl Among them, the caprock thickness index (I) Ct ) is defined as the average thickness (T) of the caprock within a certain exploration zone. cp ) and the average thickness of the inner cover layer of the basin (T) crThe ratio of ) to I Ct =T cp / T cr ; caprock lithology index (I Cl ) is defined as the lithological thickness (D) within a cap layer section of an exploration area that has the capacity to seal. cl ) and the total thickness of the cap layer segment (D) cp The ratio of ) to I Cl =D cl / D cp Then the cap layer index I C =I Ct ×I Cl =(T cp / T cr )×(D cl / D cp ), I C ≥0, caprock index (I C The higher the value, the better the caprock conditions in the exploration zone.

[0116] In one embodiment of the present invention, the preset classification includes: confirmed exploration zone, potential exploration zone, speculative exploration zone, and invalid exploration zone. Figure 5 This is a flowchart illustrating the quantitative classification of exploration zones according to an embodiment of the present invention, such as... Figure 5 As shown, step S105, which determines the preset classification of each exploration zone based on the oil source index, the reservoir index, and the caprock index, specifically includes steps S501 to S504.

[0117] Step S501: If the oil source index, reservoir index and caprock index of the exploration zone are all greater than 0, then the exploration zone is determined to be a confirmed exploration zone.

[0118] Step S502: If any two of the source oil index, reservoir index, and caprock index of the exploration zone are greater than 0, then the exploration zone is determined to be a potential exploration zone.

[0119] Step S503: If only one of the oil source index, reservoir index and caprock index of the exploration zone is greater than 0, then the exploration zone is determined to be a prospective exploration zone.

[0120] Step S504: If the oil source index, reservoir index and caprock index of the exploration zone are all equal to 0, then the exploration zone is determined to be an invalid exploration zone.

[0121] In this embodiment of the invention, the invention is based on the oil source index (I O ), reservoir index (I) R ), caprock index (I) C The calculation results of the oil source index (I) are used to quantitatively classify each exploration zone. O), reservoir index (I) R ), caprock index (I) C Exploration zones with all values ​​greater than 0 are classified as confirmed exploration zones (P zones). proven ); the oil source index (I O ), reservoir index (I) R ), caprock index (I) C Only two exploration zones with an index greater than 0 are classified as potential exploration zones (P). potential ); the oil source index (I O ), reservoir index (I) R ), caprock index (I) C ) Only one exploration zone with an index greater than 0 is classified as a prospective exploration zone (P possible ); the oil source index (I O ), reservoir index (I) R ), caprock index (I) C Exploration zones with all values ​​of 0 are classified as invalid exploration zones (P). ineffective ).

[0122] Figure 6 This is a flowchart of the quantitative sorting of exploration zones according to an embodiment of the present invention, as shown below. Figure 6 As shown, step S106 specifically includes steps S601 and S602.

[0123] Step S601: Sort each exploration zone according to the sorting information corresponding to each preset category.

[0124] Step S602: Calculate the potential index corresponding to each exploration zone based on the oil source index, reservoir index and caprock index corresponding to each exploration zone, and sort the exploration zones in each preset category according to the potential index.

[0125] In one embodiment of the present invention, the step S602 above, which calculates the potential index corresponding to each exploration zone based on the source oil index, reservoir index, and caprock index corresponding to each exploration zone, specifically includes:

[0126] Multiply all non-zero indices among the oil source index, reservoir index, and caprock index corresponding to each exploration zone to obtain the potential index corresponding to each exploration zone.

[0127] In this embodiment of the invention, the invention first sorts the exploration zones by category, that is, confirms the exploration zone (P proven ) > Potential exploration zone (P potential > Inferred exploration zone (P) possible > Invalid exploration zone (P) ineffectiveThe potential index (IP) is defined as the product of non-zero indices (i.e., the oil source index (I)). O ), reservoir index (I) R ), caprock index (I) C (Multiplying non-zero exponents in the index), and sorting exploration zones according to their potential index (IP) values ​​for different categories. Exploration zones with higher IP values ​​are ranked higher. When the quantitative classification result of an exploration zone is a confirmed exploration zone (P... proven When confirming the potential index (IP) of the exploration zone, proven ) = I O ×I R ×I C =(T op / T or )×(D or / D op )×(T rp / T rr )×((1 / 2×D rr -|D rp -1 / 2×D rr |) / (1 / 2×D rr ))×(T cp / T cr )×(D cl / D cp According to IP proven The values ​​are sorted by the confirmed exploration zones, IP. proven The higher the numerical value, the greater the exploration potential of the confirmed exploration zone, and the higher its ranking among confirmed exploration zones. When the quantitative classification result of the exploration zone is a potential exploration zone (P... potential When ), potential exploration zone (P potential Potential Index (IP) potential IP is the result of multiplying two non-zero exponents. potential =I O ×I R Or I O ×I C Or I R ×I C According to IP potential Numerical values ​​are used to rank different potential exploration zones, IP potential The higher the value, the greater the exploration potential of the corresponding potential exploration zone, and the higher its ranking among potential exploration zones. When the quantitative classification result of the exploration zone is a speculative exploration zone (P... possible When inferring the exploration zone (P), possible Potential Index (IP) possible ) equals the only non-zero exponent, namely IP possible =I O Or IR Or I C According to IP possible Numerical values ​​are used to rank different inferred exploration zones, IP possible The larger the value, the greater the inferred exploration potential of the zone, and the higher its ranking among inferred exploration zones. When the quantitative classification result of the exploration zone is an invalid exploration zone (P... ineffective When ), the invalid exploration zone (P) ineffective Potential Index (IP) ineffective If the value is 0, it means that the exploration zone has no exploration potential and should not be included in the ranking.

[0128] To enable those skilled in the art to better understand the technical solutions in this application, the method of the present invention will be described below with reference to examples.

[0129] In step S101, the exploration zones to be classified and sorted are identified, and data on the three hydrocarbon accumulation elements (source rock, reservoir, and caprock) of these zones are prepared. In this embodiment, data on source rock, reservoir, and caprock of eight exploration zones to be classified and sorted in a basin were collected. The eight exploration zones are numbered P1, P2, P3, P4, P5, P6, P7, and P8, respectively. Basic data on their source rock, reservoir, and caprock can be found in […]. Figure 11 .

[0130] In step S102, the oil source index (I) of each exploration zone is calculated. O Oil Source Index (I) O ) is determined by the oil source thickness index (I Ot ) and oil source distance index (I Od ) constitutes, i.e., I O =I Ot ×I Od Among them, the oil source thickness index (I) Ot ) is defined as the average thickness (T) of source rocks within a certain exploration zone. op ) and the average thickness of source rocks in the main hydrocarbon-generating depressions of the basin (T) or The ratio of ) to I Ot =T op / T or ,See Figure 7 Oil source distance index (I) Od ) is defined as the maximum distance (D) between the zero-thickness point and the maximum-thickness point of the source rock in a hydrocarbon-supplying depression of a certain exploration zone. or Divide by the maximum distance (D) between the outer edge of the exploration zone and the point with the maximum thickness of the source rock. op ), i.e. I od =D or / D op ,See Figure 7 Then the oil source index IO =I Ot ×I Od =(T op / T or )×(D or / D op ), I O ≥0, oil source index (I O A higher value indicates better oil source conditions in the exploration zone. In this example, the oil source index (I) is calculated for each of the eight exploration zones in a basin. O For example, the average thickness of source rocks (T) within exploration zone P1. op The average thickness (T) of the source rocks in the main hydrocarbon-generating depressions of the basin is 150m. or If the depth is 200m, then the oil source thickness index (I) of exploration zone P1 is... Ot ) = T op / T or =150m / 200m=0.75; the maximum distance (D) between the zero-thickness point and the maximum-thickness point of the source rock in the hydrocarbon-supplying depression of exploration zone P1. or The maximum distance (D) between the outer edge of exploration zone P1 and the point with the maximum thickness of the source rock is 8 km. op If the distance to the oil source in exploration zone P1 is 20km, then the oil source distance index (I) is... Od ) = D or / D op =8km / 20km=0.40; that is, the oil source index I of exploration zone P1. O-P1 =I Ot ×I Od =0.75 × 0.40 = 0.30. Average thickness of source rocks (T) within exploration zone P2. op The average thickness (T) of the source rocks in the main hydrocarbon-generating depressions of the basin is 100m. or If the depth is 200m, then the oil source thickness index (I) of exploration zone P2 is... Ot ) = T op / T or =100m / 200m=0.50; the maximum distance (D) between the zero point of the source rock thickness and the maximum point of the source rock thickness in the hydrocarbon-supplying depression of exploration zone P2. or The maximum distance (D) between the outer edge of exploration zone P2 and the point of maximum source rock thickness is 8 km. op If the distance is 35km, then the oil source distance index (I) of exploration zone P2 is... Od ) = D or / D op =8km / 35km=0.23; that is, the oil source index I of exploration zone P2. O-P2 =I Ot ×I Od=0.50 × 0.23 = 0.11. Using the same calculation method, the oil source index I of exploration zone P3 was calculated. O-P3 The oil source index I of exploration zone P4 is 0.27. O-P4 The oil source index I of exploration zone P5 is 0. O-P5 The oil source index I of exploration zone P6 is 0.29. O-P6 The oil source index I of exploration zone P7 is 0.03. O-P7 The oil source index I of exploration zone P8 is 0.22. O-P8 It is 0.29, see Figure 11 .

[0131] In step S103, the reservoir index (I) of each exploration zone is calculated. R Reservoir index (I) R ) is determined by the reservoir thickness index (I Rt ) and reservoir distance index (I Rd ) constitutes, i.e., I R =I Rt ×I Rd Among them, the reservoir thickness index (I) Rt ) is defined as the average thickness of the reservoir within a certain exploration zone (T) rp ) and the average thickness of reservoirs within the basin (T) rr The ratio of ) to I Rt =T rp / T rr ,See Figure 8 Considering that reservoir properties are optimal near the midpoint of the sedimentary facies zone, the reservoir distance index (I) Rd ) is defined as I Rd = (1 / 2 × D) rr -|D rp -1 / 2×D rr |) / (1 / 2×D rr ), D rr Let be the axial distance of the sedimentary facies zone where a certain exploration zone is located, then 1 / 2×D rr D represents the distance between the midpoint of a sedimentary facies zone and the point near the source edge of the sedimentary facies zone. rp This represents the distance from the midpoint of an exploration zone to the near-source edge of a sedimentary facies zone, see [reference]. Figure 8 Then the reservoir index I R =I Rt ×I Rd =(T rp / T rr )×((1 / 2×D rr -|D rp -1 / 2×D rr |) / (1 / 2×D rr )), I R≥0, reservoir index (I R A higher reservoir index (I) indicates better reservoir conditions in the exploration zone. In this example, the reservoir index (I) is calculated for each of the eight exploration zones in a basin. R For example, the average reservoir thickness (T) within exploration zone P1. rp The average reservoir thickness (T) within the basin is 120m. rr If the reservoir thickness index (I) of exploration zone P1 is 150m, then the reservoir thickness index (I) of exploration zone P1 is... Rt ) = T rp / T rr =120m / 150m=0.80; Axial distance (D) of the sedimentary facies zone where exploration zone P1 is located. rr The distance from the midpoint of P1 in the exploration zone to the near-source edge of the sedimentary facies zone is 15km. rp If the reservoir distance index (I) of exploration zone P1 is 8km, then... Rd )=(1 / 2×D rr -|D rp -1 / 2×D rr |) / (1 / 2×D rr )=(7.5km-|8km-7.5km|) / 7.5km=7km / 7.5km=0.93; therefore, the reservoir index I of exploration zone P1 is... R-P1 =I Rt ×I Rd =0.80 × 0.93 = 0.74. Average reservoir thickness (T) within exploration zone P2. rp The average reservoir thickness (T) within the basin is 90m. rr If the reservoir thickness index (I) of exploration zone P2 is 150m, then the reservoir thickness index (I) of exploration zone P2 is... Rt ) = T rp / T rr =90m / 150m=0.60; Axial distance (D) of the sedimentary facies zone where exploration zone P2 is located. rr The distance from the midpoint of P2 in the exploration zone to the near-source edge of the sedimentary facies zone is 10 km. rp If the distance is 3km, then the reservoir distance index (I) of exploration zone P2 is... Rd )=(1 / 2×D rr -|D rp -1 / 2×D rr |) / (1 / 2×D rr )=(5km-|3km-5km|) / 5km=3km / 5km=0.60; therefore, the reservoir index I of exploration zone P2 is R-P2 =I Rt ×I Rd=0.60 × 0.60 = 0.36. Using the same calculation method, the reservoir index I of exploration zone P3 was calculated. R-P3 The reservoir index I of exploration zone P4 is 0.20. R-P4 The reservoir index I of exploration zone P5 is 0.16. R-P5 The reservoir index I of exploration zone P6 is 1.00. R-P6 The reservoir index I of exploration zone P7 is 0.32. R-P7 The reservoir index I of exploration zone P8 is 0.27. R-P8 It is 0.19, see Figure 11 .

[0132] In step S104, the caprock index (I) of each exploration zone is calculated. C Cap layer index (I) C ) is determined by the caprock thickness index (I Ct ) and caprock lithology index (I Cl ) constitutes, i.e., I C =I Ct ×I Cl Among them, the caprock thickness index (I) Ct ) is defined as the average thickness (T) of the caprock within a certain exploration zone. cp ) and the average thickness of the inner cover layer of the basin (T) cr The ratio of ) to I Ct =T cp / T cr ,See Figure 9 ; caprock lithology index (I Cl ) is defined as the thickness of lithology with capping capacity within a cap layer section of an exploration area (D) cl ) and the total thickness of the cap layer segment (D) cp The ratio of ) to I Cl =D cl / D cp ,See Figure 9 Then the cap layer index I C =I Ct ×I Cl =(T cp / T cr )×(D cl / D cp ), I C ≥0, cap layer index I C A higher value indicates better caprock conditions in the exploration zone. In this example, the caprock index (I0.05) is calculated for each of the eight exploration zones in a basin. C For example, the average thickness of the caprock within exploration zone P1 (T) cp The average thickness of the cap layer within the basin is 100m. crIf the thickness of the caprock in exploration zone P1 is 150m, then the caprock thickness index (I) is... Ct ) = T cp / T cr =100m / 150m=0.67; Thickness of lithology with sealing capacity within the P1 cap layer section of the exploration zone (D) cl The total thickness of the cap layer is 60m, and the total thickness of the cap layer section (D) is 60m. cp If the depth is 100m, then the caprock lithology index (I) of exploration zone P1 is... Cl ) = D cl / D cp =60m / 100m=0.60; therefore, the caprock index I of exploration zone P1 is... C-P1 =I Ct ×I Cl =0.67 × 0.60 = 0.40. Average thickness of the caprock within the P2 exploration zone (T) cp The average thickness of the cap layer within the basin is 150m. cr If the thickness of the caprock in exploration zone P1 is 150m, then the caprock thickness index (I) is... Ct ) = T cp / T cr =150m / 150m=1.00; Thickness of lithology with sealing capacity within the P2 cap layer section of the exploration zone (D) cl The total thickness of the cap layer is 40m, and the total thickness of the cap layer section (D) is 40m. cp If the depth is 150m, then the caprock lithology index (I) of exploration zone P2 is... Cl ) = D cl / D cp =40m / 150m=0.27; therefore, the caprock index I of exploration zone P2 is... C-P2 =I Ct ×I Cl =1.00 × 0.27 = 0.27. Using the same calculation method, the caprock index I of exploration zone P3 was calculated. C-P3 The caprock index I of exploration zone P4 is 0.27. C-P4 The caprock index I of exploration zone P5 is 0.00. C-P5 The caprock index I of exploration zone P6 is 0.00. C-P6 The caprock index I of exploration zone P7 is 0.53. C-P7 The caprock index I of exploration zone P8 is 0.47. C-P8 It is 0.47, see Figure 11 .

[0133] In step S105, the exploration zones are quantitatively classified. This is based on the oil source index (I... O ), reservoir index (I) R ), caprock index (I) CThe calculation results of the oil source index (I) are used to quantitatively classify each exploration zone. O ), reservoir index (I) R ), caprock index (I) C Exploration zones with all values ​​greater than 0 are classified as confirmed exploration zones (P zones). proven ),See Figure 10 The oil source index (I) O ), reservoir index (I) R ), caprock index (I) C Only two exploration zones with an index greater than 0 are classified as potential exploration zones (P). potential ),See Figure 10 The oil source index (I) O ), reservoir index (I) R ), caprock index (I) C ) Only one exploration zone with an index greater than 0 is classified as a prospective exploration zone (P possible ),See Figure 10 The oil source index (I) O ), reservoir index (I) R ), caprock index (I) C Exploration zones with all values ​​of 0 are classified as invalid exploration zones (P). ineffective ),See Figure 10 This embodiment quantifies and classifies eight exploration zones in a basin. The oil source index (I) of exploration zones P1, P2, P3, P6, P7, and P8 is calculated. O ), reservoir index (I) R ), caprock index (I) C If all values ​​are greater than 0, it is classified as a confirmed exploration zone (P). proven ),See Figure 11 Oil source index (I) of P5 in the exploration zone O ) greater than 0, reservoir index (I) R ) greater than 0, caprock index (I C The index is equal to 0, and only two indices are greater than 0, therefore it is classified as a potential exploration zone (P). potential ),See Figure 11 Oil source index (I) of P4 in the exploration zone O ) equals 0, reservoir index (I) R ) greater than 0, caprock index (I C The index is equal to 0, and only one index is greater than 0, therefore it is classified as a prospective exploration zone (P). possible ),See Figure 11 .

[0134] In step S106, the exploration zones are quantitatively sorted. First, the exploration zones are sorted by category, i.e., confirmed exploration zones (P...proven ) > Potential exploration zone (P potential > Inferred exploration zone (P) possible > Invalid exploration zone (P) ineffective The potential index (IP) is defined as the product of non-zero indices (i.e., the oil source index (I)). O ), reservoir index (I) R ), caprock index (I) C (Multiplying non-zero exponents in the index), and sorting exploration zones according to their potential index (IP) values ​​for different categories. Exploration zones with higher IP values ​​are ranked higher. When the quantitative classification result of an exploration zone is a confirmed exploration zone (P... proven When confirming the potential index (IP) of the exploration zone, proven ) = I O ×I R ×I C =(T op / T or )×(D or / D op )×(T rp / T rr )×((1 / 2×D rr -|D rp -1 / 2×D rr |) / (1 / 2×D rr ))×(T cp / T cr )×(D cl / D cp ),See Figure 10 According to IP proven The numerical values ​​are used to rank the various confirmed exploration zones, IP proven The higher the numerical value, the greater the exploration potential of the confirmed exploration zone, and the higher its ranking among confirmed exploration zones. When the quantitative classification result of the exploration zone is a potential exploration zone (P... potential When ), potential exploration zone (P potential Potential Index (IP) potential IP is the result of multiplying two non-zero exponents. potential =I O ×I R Or I O ×I C or I R ×I C ,See Figure 10 According to IP potential Numerical values ​​are used to rank different potential exploration zones, IP potential The higher the value, the greater the exploration potential of the corresponding potential exploration zone, and the higher its ranking among potential exploration zones. When the quantitative classification result of the exploration zone is a speculative exploration zone (P...possible When inferring the exploration zone (P), possible Potential Index (IP) possible ) equals the only non-zero exponent, namely IP possible =I O Or I R Or I C ,See Figure 10 According to IP possible Numerical values ​​are used to rank different inferred exploration zones, IP possible The larger the value, the greater the inferred exploration potential of the zone, and the higher its ranking among inferred exploration zones. When the quantitative classification result of the exploration zone is an invalid exploration zone (P... ineffective When ), the invalid exploration zone (P) ineffective Potential Index (IP) ineffective If the value is 0, it indicates that the exploration zone has no exploration potential and is not included in the ranking. This embodiment performs quantitative ranking of eight exploration zones in a basin. First, the exploration zones are ranked by category, i.e., confirmed exploration zones (P... proven ) > Potential exploration zone (P potential > Inferred exploration zone (P) possible > Invalid exploration zone (P) ineffective In this embodiment, exploration zones P1, P2, P3, P6, P7, and P8 in a certain basin are confirmed exploration zones (P...). proven The priority of exploration zones P1, P2, P3, P6, P7, and P8 is higher than that of potential exploration zone P5; and the priority of potential exploration zone P5 is higher than that of inferred exploration zone P4. For different categories of exploration zones, they are ranked according to their potential index (IP) values. For example, if exploration zones P1, P2, P3, P6, P7, and P8 are all confirmed exploration zones, then they are ranked according to their potential index (IP). proven Sort the values ​​of IP. proven A higher IP value indicates greater exploration potential and a higher ranking among confirmed exploration zones. For confirmed exploration zones, the IP value represents their potential index. proven ) = I O ×I R ×I C Calculations based on this formula confirm the potential index (IP) of exploration zone P1. proven-P1 ) = I O-P1 ×I R-P1 ×I C-P1 =0.30×0.75×0.40=0.090, confirming the potential index (IP) of exploration zone P2. proven-P2 The potential index (IP) of P3 in the exploration zone is 0.011, confirming the potential of P3 in the exploration zone.proven-P3 The potential index (IP) of P6 in the exploration zone is 0.015, confirming its high strength. proven-P6 The potential index (IP) of P7 in the exploration zone is 0.005, confirming its high level. proven-P7 The potential index (IP) of P8 in the exploration zone is 0.028, confirming its high level. proven-P8 The value is 0.026; IP proven-P7 (0.028) > IP proven-P8 (0.026) > IP proven-P1 (0.090) > IP proven-P3 (0.015) > IP proven-P2 (0.011) > IP proven-P6 (0.005), therefore, the quantitative ranking of exploration zone P7 is 1, exploration zone P8 is 2, exploration zone P1 is 3, exploration zone P3 is 4, exploration zone P2 is 5, and exploration zone P6 is 6. See Figure 11 Exploration zone P5 is a potential exploration zone with an IP potential index. potential IP is the result of multiplying two non-zero exponents. potential-P5 =I O ×I R =0.29 × 1.00 = 0.290, see Figure 11 However, in this example, a basin has only one potential exploration zone, so internal sorting is unnecessary. However, the priority of potential exploration zones is lower than that of proven exploration zones. Therefore, potential exploration zone P5 is ranked after the six certified exploration zones (exploration zone P1, exploration zone P2, exploration zone P3, exploration zone P6, exploration zone P7, and exploration zone P8). The final quantitative ranking result is 7. See [link / reference]. Figure 11 Exploration zone P4 is a prospective exploration zone, and its potential index (IP) is... possible ) equals the only non-zero exponent, namely IP possible =I R =0.160, see Figure 11 However, in this example, a basin has only one inferred exploration zone, so internal sorting is unnecessary. However, the inferred exploration zone has a lower priority than confirmed and potential exploration zones. Therefore, inferred exploration zone P4 is ranked after the six confirmed exploration zones (exploration zone P1, exploration zone P2, exploration zone P3, exploration zone P6, exploration zone P7, and exploration zone P8) and the one potential exploration zone (exploration zone P5). The final quantitative ranking result is 8. See [link / reference]. Figure 11 .

[0135] As can be seen from the above embodiments, the present invention quantitatively analyzes three hydrocarbon source rock data, reservoir data, and caprock data to quantitatively classify and rank exploration zones, thereby improving the accuracy of exploration zone classification and ranking results and enhancing the effectiveness of exploration deployment.

[0136] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0137] Based on the same inventive concept, embodiments of the present invention also provide a quantitative classification and ranking system for exploration zones, which can be used to implement the quantitative classification and ranking method for exploration zones described in the above embodiments, as described in the following embodiments. Since the principle of the quantitative classification and ranking system for exploration zones is similar to that of the quantitative classification and ranking method for exploration zones, embodiments of the quantitative classification and ranking system for exploration zones can refer to embodiments of the quantitative classification and ranking method for exploration zones, and repeated details will not be elaborated further. As used below, the terms "unit" or "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the system described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0138] Figure 12 This is a structural block diagram of the exploration zone quantitative classification and ranking system according to an embodiment of the present invention, as shown below. Figure 12 As shown, the exploration zone quantitative classification and sorting system of this invention includes:

[0139] Information loading unit 1 is used to acquire source rock data, reservoir data and caprock data corresponding to each exploration zone;

[0140] Oil source index calculation unit 2 is used to determine the oil source index corresponding to each exploration zone based on the source rock data.

[0141] The reservoir index calculation unit 3 is used to determine the reservoir index corresponding to each exploration zone based on the reservoir data.

[0142] The caprock index calculation unit 4 is used to determine the caprock index corresponding to each exploration zone based on the caprock data.

[0143] The exploration zone quantitative classification unit 5 is used to determine the preset classification corresponding to each exploration zone based on the oil source index, the reservoir index and the caprock index.

[0144] The exploration zone quantitative sorting unit 6 is used to sort each exploration zone according to the sorting information corresponding to each preset classification and the oil source index, reservoir index and caprock index corresponding to each exploration zone.

[0145] In one embodiment of the present invention, the source rock data includes: the average thickness of source rocks within the exploration zone, the average thickness of source rocks in the main hydrocarbon-generating depressions of the basin, the maximum distance between the zero point of source rock thickness in the hydrocarbon-supplying depressions of the exploration zone and the maximum point of source rock thickness, and the maximum distance between the outer edge of the exploration zone and the maximum point of source rock thickness.

[0146] The oil source index calculation unit 2 includes:

[0147] The oil source thickness index calculation module is used to calculate the oil source thickness index based on the average thickness of source rocks in the exploration zone and the average thickness of source rocks in the main hydrocarbon-generating depressions of the basin.

[0148] The oil source distance index calculation module is used to calculate the oil source distance index based on the maximum distance between the zero point of the source rock thickness in the hydrocarbon supply depression of the exploration zone and the maximum point of the source rock thickness, as well as the maximum distance between the outer edge of the exploration zone and the maximum point of the source rock thickness.

[0149] The oil source index calculation module is used to calculate the oil source index based on the oil source thickness index and the oil source distance index.

[0150] In one embodiment of the present invention, the reservoir data includes: the average reservoir thickness within the exploration zone, the average reservoir thickness within the basin, the axial distance of the sedimentary facies zone where the exploration zone is located, and the distance from the midpoint of the exploration zone to the near-source edge of the sedimentary facies zone.

[0151] The reservoir index calculation unit 3 includes:

[0152] The reservoir thickness index calculation module is used to calculate the reservoir thickness index based on the average reservoir thickness in the exploration zone and the average reservoir thickness in the basin.

[0153] The reservoir distance index calculation module is used to calculate the reservoir distance index based on the axial distance of the sedimentary facies zone where the exploration zone is located and the distance from the midpoint of the exploration zone to the near source edge of the sedimentary facies zone.

[0154] The reservoir index calculation module is used to calculate the reservoir index based on the reservoir thickness index and the reservoir distance index.

[0155] In one embodiment of the present invention, the caprock data includes: the average thickness of the caprock within the exploration zone, the average thickness of the caprock within the basin, the lithological thickness with sealing capacity within the caprock segment of the exploration zone, and the total thickness of the caprock segment.

[0156] The cap layer index calculation unit 4 includes:

[0157] The caprock thickness index calculation module is used to calculate the caprock thickness index based on the average thickness of the caprock in the exploration zone and the average thickness of the caprock in the basin.

[0158] The caprock lithology index calculation module is used to calculate the caprock lithology index based on the thickness of the lithology with sealing capacity within the caprock section of the exploration area and the total thickness of the caprock section.

[0159] The caprock index calculation module is used to calculate the caprock index based on the caprock thickness index and the caprock lithology index.

[0160] In one embodiment of the present invention, the preset classification includes: confirmed exploration zone, potential exploration zone, speculative exploration zone, and invalid exploration zone;

[0161] The exploration zone quantitative classification unit 5 includes:

[0162] The first classification module is used to determine an exploration zone as a confirmed exploration zone if the source oil index, reservoir index, and caprock index of the exploration zone are all greater than 0.

[0163] The second classification module is used to determine that if any two of the oil source index, reservoir index and caprock index of the exploration zone are greater than 0, the exploration zone is a potential exploration zone.

[0164] The third classification module is used to determine that if only one of the oil source index, reservoir index and caprock index of the exploration zone is greater than 0, the exploration zone is a speculative exploration zone.

[0165] The fourth classification module is used to determine an exploration zone as an invalid exploration zone if the oil source index, reservoir index, and caprock index of the exploration zone are all equal to 0.

[0166] In one embodiment of the present invention, the exploration zone quantitative sorting unit 6 includes:

[0167] The first sorting module is used to sort each exploration zone according to the sorting information corresponding to each preset category;

[0168] The second sorting module is used to calculate the potential index corresponding to each exploration zone based on the oil source index, reservoir index and caprock index corresponding to each exploration zone, and sort the exploration zones in each preset category according to the potential index.

[0169] In one embodiment of the present invention, the second sorting module includes:

[0170] The potential index calculation submodule is used to multiply all non-zero indices among the oil source index, reservoir index, and caprock index corresponding to each exploration zone to obtain the potential index corresponding to each exploration zone.

[0171] To achieve the above objectives, according to another aspect of this application, a computer device is also provided. For example... Figure 13 As shown, the computer device includes a memory, a processor, a communication interface, and a communication bus. The memory stores a computer program that can run on the processor. When the processor executes the computer program, it implements the steps in the method of the above embodiments.

[0172] The processor can be a central processing unit (CPU). The processor can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips.

[0173] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and units, such as the program units corresponding to the above-described method embodiments of the present invention. The processor executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory, thereby implementing the methods described in the above-described method embodiments.

[0174] The memory may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the processor, etc. Furthermore, the memory may include high-speed random access memory and non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may optionally include memory remotely located relative to the processor, which can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0175] The one or more units are stored in the memory and, when executed by the processor, perform the methods described in the above embodiments.

[0176] The specific details of the aforementioned computer equipment can be understood by referring to the relevant descriptions and effects in the above embodiments, and will not be repeated here.

[0177] To achieve the above objectives, according to another aspect of this application, a computer-readable storage medium is also provided, which stores a computer program that, when executed in a computer processor, implements the steps in the above-described exploration zone quantitative classification and sorting method. Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium may also include combinations of the above types of memory.

[0178] Obviously, those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device, or fabricating them separately as individual integrated circuit modules, or fabricating multiple modules or steps as a single integrated circuit module. Thus, the present invention is not limited to any particular hardware and software combination.

[0179] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for quantitative classification and ranking of exploration zones, characterized in that, include: Acquire source rock data, reservoir data, and caprock data for each exploration zone; Based on the source rock data, the corresponding oil source index for each exploration zone is determined. The source rock data includes: the average thickness of source rocks within the exploration zone, the average thickness of source rocks in the main hydrocarbon-generating depressions of the basin, the maximum distance between the zero-thickness point and the maximum thickness point of source rocks in the hydrocarbon-generating depressions of the exploration zone, and the maximum distance between the outer edge of the exploration zone and the maximum thickness point of source rocks. The oil source index is calculated using the following formula: I O =I Ot ×I Od ;I Ot =T op / T or ;I od =D or / D op Among them, I O For oil source index, I Ot For oil source thickness index, I Od For oil source distance index, T op The average thickness of source rocks within the exploration zone, T or The average thickness of source rocks in the main hydrocarbon-generating depressions of the basin, D or D represents the maximum distance between the zero-thickness point and the maximum-thickness point of the source rock in the hydrocarbon-supplying depression of the exploration zone. op This represents the maximum distance between the outer edge of the exploration zone and the point where the source rock thickness reaches its maximum value. Based on the reservoir data, the reservoir index corresponding to each exploration zone is determined. The reservoir data includes: average reservoir thickness within the exploration zone, average reservoir thickness within the basin, axial distance of the sedimentary facies zone where the exploration zone is located, and distance from the midpoint of the exploration zone to the near-source edge of the sedimentary facies zone. The reservoir index is calculated using the following formula: I R =I Rt ×I Rd ;I Rt =T rp / T rr ;I Rd = (1 / 2 × D) rr -|D rp -1 / 2×D rr |) / (1 / 2×D rr ); where I R For reservoir index, I Rt For reservoir thickness index, I Rd For reservoir distance index, T rp The average thickness of the reservoir within the exploration zone, T rr The average thickness of the reservoir within the basin, D rr The axial distance of the sedimentary facies zone where the exploration zone is located, D rp This is the distance from the midpoint of the exploration zone to the near-source edge of the sedimentary facies zone. The caprock index for each exploration zone is determined based on the caprock data, which includes: the average thickness of the caprock within the exploration zone, the average thickness of the caprock within the basin, the lithological thickness with sealing capacity within the caprock segment of the exploration zone, and the total thickness of the caprock segment. The caprock index is calculated using the following formula: I C =I Ct ×I Cl ;I Ct =T cp / T cr ;I Cl =D cl / D cp Among them, I C For cap layer index, I Ct For cap layer thickness index, I Cl For caprock lithology index, T cp The average thickness of the caprock within the exploration zone, T cr The average thickness of the cap layer within the basin, D cl The thickness of the lithology with capping capacity within the cap layer section of the exploration area, D cp This refers to the total thickness of the cap layer segment; Based on the oil source index, the reservoir index, and the caprock index, each exploration zone is determined to have its own preset classification, which includes: confirmed exploration zone, potential exploration zone, inferred exploration zone, and ineffective exploration zone. The exploration zones are sorted according to the sorting information corresponding to each preset category and the oil source index, reservoir index and caprock index corresponding to each exploration zone. The process of sorting each exploration zone according to the sorting information corresponding to each preset category and the oil source index, reservoir index, and caprock index corresponding to each exploration zone includes: The exploration zones are sorted according to the sorting information corresponding to each preset category. The sorting of each preset category from front to back is as follows: confirmed exploration zone, potential exploration zone, inferred exploration zone, and invalid exploration zone. Based on the oil source index, reservoir index and caprock index corresponding to each exploration zone, the potential index corresponding to each exploration zone is calculated, and the exploration zones in each preset category are sorted according to the potential index.

2. The exploration zone quantitative classification and sorting method according to claim 1, characterized in that, The step of determining the preset classification corresponding to each exploration zone based on the oil source index, the reservoir index, and the caprock index includes: If the source oil index, reservoir index, and caprock index of the exploration zone are all greater than 0, then the exploration zone is determined to be a confirmed exploration zone. If any two of the oil source index, reservoir index, and caprock index of the exploration zone are greater than 0, then the exploration zone is determined to be a potential exploration zone. If only one of the oil source index, reservoir index, and caprock index of the exploration zone is greater than 0, then the exploration zone is determined to be a speculative exploration zone. If the oil source index, reservoir index, and caprock index of an exploration zone are all equal to 0, then the exploration zone is determined to be an invalid exploration zone.

3. The exploration zone quantitative classification and sorting method according to claim 1, characterized in that, The process of calculating the potential index corresponding to each exploration zone based on the oil source index, reservoir index, and caprock index for each exploration zone includes: Multiply all non-zero indices among the oil source index, reservoir index, and caprock index corresponding to each exploration zone to obtain the potential index corresponding to each exploration zone.

4. A quantitative classification and ranking system for exploration zones, characterized in that, include: The information loading unit is used to acquire the source rock data, reservoir data, and caprock data corresponding to each exploration zone; The oil source index calculation unit is used to determine the oil source index corresponding to each exploration zone based on the source rock data. The source rock data includes: the average thickness of source rocks within the exploration zone, the average thickness of source rocks in the main hydrocarbon-generating depressions of the basin, the maximum distance between the zero-thickness point and the maximum thickness point of source rocks in the hydrocarbon-generating depressions of the exploration zone, and the maximum distance between the outer edge of the exploration zone and the maximum thickness point of source rocks. The oil source index is calculated using the following formula: I O =I Ot ×I Od ;I Ot =T op / T or ;I od =D or / D op Among them, I O For oil source index, I Ot For oil source thickness index, I Od For oil source distance index, T op The average thickness of source rocks within the exploration zone, T or The average thickness of source rocks in the main hydrocarbon-generating depressions of the basin, D or D represents the maximum distance between the zero-thickness point and the maximum-thickness point of the source rock in the hydrocarbon-supplying depression of the exploration zone. op This represents the maximum distance between the outer edge of the exploration zone and the point where the source rock thickness reaches its maximum value. The reservoir index calculation unit is used to determine the reservoir index corresponding to each exploration zone based on the reservoir data. The reservoir data includes: average reservoir thickness within the exploration zone, average reservoir thickness within the basin, axial distance of the sedimentary facies zone where the exploration zone is located, and distance from the midpoint of the exploration zone to the near-source edge of the sedimentary facies zone. The reservoir index is calculated using the following formula: I R =I Rt ×I Rd ;I Rt =T rp / T rr ;I Rd = (1 / 2 × D) rr -|D rp -1 / 2×D rr |) / (1 / 2×D rr ); where I R For reservoir index, I Rt For reservoir thickness index, I Rd For reservoir distance index, T rp The average thickness of the reservoir within the exploration zone, T rr The average thickness of the reservoir within the basin, D rr The axial distance of the sedimentary facies zone where the exploration zone is located, D rp This is the distance from the midpoint of the exploration zone to the near-source edge of the sedimentary facies zone. The caprock index calculation unit is used to determine the caprock index corresponding to each exploration zone based on the caprock data. The caprock data includes: the average thickness of the caprock within the exploration zone, the average thickness of the caprock within the basin, the lithological thickness with sealing capacity within the caprock segment of the exploration zone, and the total thickness of the caprock segment. The caprock index is calculated using the following formula: I C =I Ct ×I Cl ;I Ct =T cp / T cr ;I Cl =D cl / D cp Among them, I C For cap layer index, I Ct For cap layer thickness index, I Cl For caprock lithology index, T cp The average thickness of the caprock within the exploration zone, T cr The average thickness of the cap layer within the basin, D cl The thickness of the lithology with capping capacity within the cap layer section of the exploration area, D cp This refers to the total thickness of the cap layer segment; The exploration zone quantitative classification unit is used to determine the preset classification corresponding to each exploration zone based on the oil source index, the reservoir index and the caprock index. The preset classification includes: confirmed exploration zone, potential exploration zone, inferred exploration zone and invalid exploration zone. The exploration zone quantitative ranking unit is used to rank each exploration zone according to the ranking information corresponding to each preset category and the oil source index, reservoir index and caprock index corresponding to each exploration zone. The exploration zone quantitative sorting unit includes: The first sorting module is used to sort each exploration zone according to the sorting information corresponding to each preset category. The sorting of each preset category from front to back is confirmed exploration zone, potential exploration zone, inferred exploration zone, and invalid exploration zone. The second sorting module is used to calculate the potential index corresponding to each exploration zone based on the oil source index, reservoir index and caprock index corresponding to each exploration zone, and sort the exploration zones in each preset category according to the potential index.

5. The exploration zone quantitative classification and sorting system according to claim 4, characterized in that, The exploration zone quantitative classification unit includes: The first classification module is used to determine an exploration zone as a confirmed exploration zone if the source oil index, reservoir index, and caprock index of the exploration zone are all greater than 0. The second classification module is used to determine that if any two of the oil source index, reservoir index and caprock index of the exploration zone are greater than 0, the exploration zone is a potential exploration zone. The third classification module is used to determine that if only one of the oil source index, reservoir index and caprock index of the exploration zone is greater than 0, the exploration zone is a speculative exploration zone. The fourth classification module is used to determine an exploration zone as an invalid exploration zone if the oil source index, reservoir index, and caprock index of the exploration zone are all equal to 0.

6. The exploration zone quantitative classification and sorting system according to claim 4, characterized in that, The second sorting module includes: The potential index calculation submodule is used to multiply all non-zero indices among the oil source index, reservoir index, and caprock index corresponding to each exploration zone to obtain the potential index corresponding to each exploration zone.

7. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method according to any one of claims 1 to 3.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed in a computer processor, it implements the method as described in any one of claims 1 to 3.

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