An integrated well selection method, apparatus, equipment, and medium for tight oil geology and engineering

Abstract

This invention relates to the field of oil and gas field development technology, and particularly to an integrated well selection method, apparatus, equipment, and medium for tight oil geology and engineering. The method includes: establishing a reservoir parameter production prediction equation based on the tight oil reservoir classification of the work area to determine the reservoir parameter production of oil wells in the work area; determining the fracturing parameter production using a multi-fracture production prediction formula; determining the reservoir stimulation coefficient based on the reservoir parameter production and fracturing parameter production; determining the economic production capacity coefficient of horizontal wells based on the cumulative oil production of a single well; establishing a well selection chart based on the reservoir stimulation coefficient and the economic production capacity coefficient; and determining whether to perform energy replenishment or repeated fracturing based on the quadrant where the well point is located in the well selection chart. This invention comprehensively and quantitatively considers multiple related factors in terms of production capacity evaluation, solving the problem of the inability to compare different results horizontally. It helps to demonstrate the evolution of geological understanding as work progresses and data is supplemented, and has greater convenience and systematicity.

Description

Technical Field

[0001] This invention relates to the field of oil and gas field development technology, and in particular to an integrated well selection method, apparatus, equipment and medium for tight oil geological engineering. Background Technology

[0002] Tight oil reservoirs primarily feature nanoscale pore-throat systems, coexisting with micron-scale pore-throat systems, resulting in poor reservoir permeability. Compared to conventional reservoirs, depletion-driven development cannot meet economic production needs; therefore, replenishing formation energy is necessary for long-term profitability. Current methods for enhancing oil recovery in ultra-low permeability and tight reservoirs include multi-media flooding, well-group air foam flooding, air-thermal miscible flooding with gas injection and controlled decline technology, and energy storage fracturing technology for both new and old wells. These methods, through synergistic optimization across the entire lifecycle, ensure efficient and long-term resource utilization, potentially increasing reservoir recovery by 5-8 percentage points. Establishing well selection criteria and designing single-well or block plans through dynamic analysis and performance evaluation of individual wells to improve cumulative oil production and recovery rate is of paramount importance.

[0003] Existing technologies for well selection in fracturing mainly include: 1. Research based on the actual conditions of offshore oilfields, using an improved dimensionless production index to evaluate the production capacity of oil wells, and combining this with the quantification of small-layer reservoir stimulation, potential tapping, and late-stage displacement multiple in high water-cut reservoirs to formulate a rational basis for well and layer selection for fracturing measures. 2. Research based on laboratory experiments and field practice summaries to determine two key evaluation parameters: the first is the lower limit of permeability, and the second is the reservoir conditions of the block. This is also combined with sedimentary direction and geostress direction. 3. By comparing parameters such as reservoir characteristics, development features, recovery rate, and energy level, cluster analysis is used to formulate well selection criteria and conduct classification and grading evaluations of blocks. Simultaneously considering comprehensive factors such as geological reservoir, initial stimulation, energy level, and wellbore conditions, four categories of evaluation factors are constructed. Using the initial cumulative oil increase during the initial stage of fracturing as the response value, a method for predicting the initial oil increase during the transition to a different development mode is established.

[0004] It is evident that the existing methods mentioned above all focus on one type of energy enhancement, the establishment of screening criteria and methods for single-factor analysis, and lack a comprehensive well selection method for tight oil reservoirs. Summary of the Invention

[0005] This invention proposes an integrated well selection method, device, equipment, and medium for tight oil geology and engineering, to address the problems of existing well selection methods that only target a single energy enhancement mode and lack comprehensive well selection for multiple energy sources in tight oil reservoirs; well selection criteria that rely on single factors or qualitative analysis and fail to systematically quantify and integrate multi-dimensional parameters such as geology, production, and engineering; and evaluation results that are greatly influenced by subjectivity, making it difficult to compare evaluation conclusions from different periods and different personnel, resulting in insufficient systematicity and weak operability in well selection decision-making.

[0006] According to one aspect of the present invention, an integrated well selection method for tight oil geology and engineering is provided, comprising:

[0007] Based on the classification of tight oil reservoirs in the work area, a reservoir parameter production prediction equation is established, and the reservoir parameter production of oil wells in the work area is determined based on the equation.

[0008] Based on the horizontal well fracturing design parameters, the fracturing parameter production rate is determined using the multi-fracture production capacity prediction formula.

[0009] Based on the reservoir parameter production and fracturing parameter production, combined with the actual daily production of the horizontal well in the initial stage, the reservoir stimulation coefficient is determined.

[0010] Determine the economic production capacity coefficient of horizontal wells based on the cumulative oil production of a single well;

[0011] Based on the reservoir stimulation coefficient and the economic production capacity coefficient, a well selection chart is established, and energy replenishment or repeated fracturing is determined according to the quadrant in which the well point is located on the well selection chart.

[0012] Preferably, the reservoir parameter production prediction equation includes:

[0013] q r =a*L I +b*L II +c*L III (1);

[0014] In the formula: q r For tight oil horizontal well reservoir parameters, production rate is given; a, b, and c are constants; L I The length or thickness of a Class I tight oil reservoir; L II The length or thickness of a Class II tight oil reservoir; L III The length or thickness of a Class III tight oil reservoir.

[0015] Preferably, the multi-fracture productivity prediction formula includes:

[0016] (2);

[0017] in, (2-1);

[0018] In the formula: q f For tight oil horizontal well fracturing parameters, production rate is given; n is the number of fractures; K h For reservoir permeability, mD; h o The target reservoir thickness is in meters (m); p e The original formation pressure is expressed in MPa; p wf Bottom hole flowing pressure, MPa; μ o B represents the viscosity of the formation crude oil, in MPa·s.o H1 is the crude oil volume factor; H1 is the influencing factor related to fracture parameters, f; β is the volume factor; h is the reservoir thickness; L is the horizontal section length; h f K represents the crack height. f Where m is the fracture permeability; c is the compressibility factor, f; r w The radius of the oil well supply is in meters (m); L f Let be the crack length, in meters; a and b are constants.

[0019] Preferably, the method for determining the reservoir stimulation coefficient based on the reservoir parameter production and fracturing parameter production, combined with the actual daily production of the horizontal well in the initial stage, includes:

[0020] The reservoir stimulation coefficient is determined using equation (3);

[0021] (3);

[0022] In the formula: q p (q r ,q f To consider reservoir parameter q r and fracturing parameters q f Post-evaluation yield, t / d; q a The daily production (t / d) of the horizontal well in the first year of its initial operation.

[0023] Preferably, the method for determining the economic production capacity coefficient of a horizontal well based on the cumulative oil production of a single well includes:

[0024] (4);

[0025] In the formula: q ac The cumulative oil production of a single horizontal well over three years is expressed in tons.

[0026] Preferably, the method for determining whether to perform energy replenishment or repeated fracturing based on the quadrant of the well point in the well selection chart includes:

[0027] The well selection chart is a plane rectangular coordinate system chart with the reservoir stimulation coefficient as the horizontal axis and the economic production capacity coefficient as the vertical axis;

[0028] On the chart, wells falling into the first quadrant are the preferred wells for increasing production capacity; wells falling into the second quadrant are the secondary wells; and wells falling into the third quadrant are subject to repeated fracturing.

[0029] Preferably, at least one of the following methods is used to assess the formation energy deficit: production decline analysis, well test pressure prediction, and material balance method for evaluating formation deficit or pressure-oil exchange rate synergistic optimization method, so as to comprehensively determine the timing of energy enhancement measures.

[0030] According to one aspect of the present invention, an integrated well selection device for tight oil geology and engineering is provided, comprising:

[0031] The reservoir parameter production determination unit is used to establish a reservoir parameter production prediction equation based on the classification of tight oil reservoirs in the work area, and to determine the reservoir parameter production of oil wells in the work area based on the equation.

[0032] The fracturing parameter production determination unit is used to determine the fracturing parameter production based on the horizontal well fracturing design parameters and the multi-fracture production capacity prediction formula.

[0033] The reservoir stimulation coefficient determination unit is used to determine the reservoir stimulation coefficient based on the reservoir parameter production and fracturing parameter production, combined with the actual daily production of the horizontal well in the initial stage.

[0034] The economic production capacity coefficient determination unit is used to determine the economic production capacity coefficient of horizontal wells based on the cumulative oil production of a single well.

[0035] The well selection unit is used to establish a well selection chart based on the reservoir stimulation coefficient and the economic production capacity coefficient, and to determine whether to perform energy replenishment or repeated fracturing based on the quadrant in which the well point is located in the well selection chart.

[0036] According to one aspect of the present invention, an electronic device is provided, comprising:

[0037] processor;

[0038] Memory used to store processor-executable instructions;

[0039] The processor is configured to execute the above-mentioned integrated well selection method for tight oil geology and engineering.

[0040] According to one aspect of this disclosure, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the above-described integrated well selection method for tight oil geology and engineering.

[0041] The present invention has at least the following beneficial effects:

[0042] This invention proposes an integrated well selection method, apparatus, equipment, and medium for tight oil geology and engineering. It establishes a comprehensive parameter standard chart based on an economic production capacity and production coefficient (reservoir stimulation coefficient) as the basis for well selection, forming a chart suitable for energy replenishment technology well selection in onshore tight oil reservoirs. Wells suitable for energy replenishment or repeated fracturing are determined based on this chart. This invention comprehensively and quantitatively considers multiple relevant factors in production capacity evaluation, solving the problem of the inability to horizontally compare results obtained from different times, institutions, or personnel. It helps to demonstrate the evolution of geological understanding as work progresses and data is supplemented, offering greater convenience and systematicity. Attached Figure Description

[0043] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present invention and, together with the specification, serve to explain the technical solutions of the present invention.

[0044] Figure 1 A flowchart illustrating the integrated well selection method for tight oil geology and engineering according to an embodiment of the present invention is shown;

[0045] Figure 2 This diagram illustrates a selection of wells for enhancing the production capacity of tight oil horizontal wells according to an embodiment of the present invention.

[0046] Figure 3 The following is an example of a horizontal well production dynamic analysis curve according to an embodiment of the present invention;

[0047] Figure 4 The diagram shows the near-formation pressure variation curve of a horizontal well according to an embodiment of the present invention;

[0048] Figure 5 The oil change rate curves for energy enhancement measures under different pressure conditions according to embodiments of the present invention are shown. Detailed Implementation

[0049] Various exemplary embodiments, features, and aspects of the present invention will now be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of the embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.

[0050] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.

[0051] In this document, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0052] Furthermore, to better illustrate the present invention, numerous specific details are set forth in the following detailed embodiments. Those skilled in the art will understand that the present invention can be practiced without certain specific details. In some instances, methods, means, elements, and circuits well known to those skilled in the art have not been described in detail in order to highlight the spirit of the invention.

[0053] Figure 1 A flowchart illustrating the integrated well selection method for tight oil geology and engineering according to an embodiment of the present invention is shown; Figure 2 This diagram illustrates a selection of wells for enhancing the production capacity of tight oil horizontal wells according to an embodiment of the present invention. Figure 3 The following is an example of a horizontal well production dynamic analysis curve according to an embodiment of the present invention; Figure 4 The diagram shows the near-formation pressure variation curve of a horizontal well according to an embodiment of the present invention; Figure 5 The oil change rate curves for energy enhancement measures under different pressure conditions according to embodiments of the present invention are shown. Figure 1-5 As shown, an integrated geological engineering well selection method for tight oil includes: Step S01: Based on the classification of tight oil reservoirs in the work area, establish a reservoir parameter production prediction equation, and determine the reservoir parameter production of oil wells in the work area based on the equation; Step S02: Based on the horizontal well fracturing design parameters, determine the fracturing parameter production using a multi-fracture production capacity prediction formula; Step S03: Based on the reservoir parameter production and fracturing parameter production, combined with the initial actual daily production of the horizontal well, determine the reservoir stimulation coefficient; Step S04: Based on the cumulative oil production of a single well, determine the economic production capacity coefficient of the horizontal well; Step S05: Based on the reservoir stimulation coefficient and the economic production capacity coefficient, establish a well selection chart, and determine whether to perform energy replenishment or repeated fracturing based on the quadrant where the well point is located in the well selection chart.

[0054] Based on the classification of tight oil reservoirs in oil wells, and taking into account geological, production, and engineering factors, a well selection chart is established using a method for predicting the production of horizontal wells with artificial fractures as an indicator. This chart determines suitable energy supplementation and production enhancement measures for each well.

[0055] The integrated geological and engineering well selection method for tight oil provided in this embodiment of the invention specifically includes the following steps:

[0056] Step S01: Based on the classification of tight oil reservoirs in the work area, establish a reservoir parameter production prediction equation, and determine the reservoir parameter production of oil wells in the work area based on the equation.

[0057] In this invention, the reservoir parameter production prediction equation includes:

[0058] q r =a*L I +b*L II +c*L III (1);

[0059] In the formula: q r For tight oil horizontal well reservoir parameters, production rate is given; a, b, and c are constants; L I The length or thickness of a Class I tight oil reservoir; L II The length or thickness of a Class II tight oil reservoir; L IIIThe length or thickness of a Class III tight oil reservoir.

[0060] In this embodiment of the invention, logging, well logging, oil testing, and production data from horizontal wells in the block for more than three years are collected. Key data include: reservoir classification and interpretation results, fracturing operation parameters, monthly oil production, and bottom hole flowing pressure test data.

[0061] Based on the classification data of tight oil reservoirs in horizontal wells, a reservoir parameter production equation is established. Specifically, geological studies of the target area finely classify the reservoirs into three categories: Category I (high-permeability sandstone), Category II (tight sandstone), and Category III (calcareous layer). Using core and imaging logging data, the length L of Category I, II, and III reservoirs encountered in each horizontal well is precisely quantified. I L II L III .

[0062] Wells without production bottlenecks were selected as samples, and their average daily output in the first month after stabilization was used as the dependent variable, with L... I L II L III Multiple linear regression analysis was performed using the reservoir as the independent variable. The regression analysis yielded the equation shown in equation (1), which quantifies the contribution of different reservoir types to basic production capacity. The coefficient of reservoir type III in the equation is close to 0, which is consistent with geological understanding, indicating that it contributes almost no production capacity. The R² (coefficient of determination) of the equation reaches 0.85, indicating high prediction accuracy and applicability to production capacity prediction in this area.

[0063] Step S02: Based on the horizontal well fracturing design parameters, determine the fracturing parameter production using the multi-fracture production capacity prediction formula.

[0064] In this invention, the multi-fracture productivity prediction formula includes:

[0065] (2);

[0066] in, (2-1);

[0067] In the formula: q f For tight oil horizontal well fracturing parameters, production rate is given; n is the number of fractures; K h For reservoir permeability, mD; h o The target reservoir thickness is in meters (m); p e The original formation pressure is expressed in MPa; p wf Bottom hole flowing pressure, MPa; μ o B represents the viscosity of the formation crude oil, in MPa·s. o H1 is the crude oil volume factor; H1 is the influencing factor related to fracture parameters, f; β is the volume factor; h is the reservoir thickness; L is the horizontal section length; hf K represents the crack height. f Where m is the fracture permeability; c is the compressibility factor, f; r w The radius of the oil well supply is in meters (m); L f Let be the crack length, in meters; a and b are constants.

[0068] In this embodiment of the invention, the fracturing parameter q is predicted using a multi-fracture productivity prediction formula. f As shown in Equations 2 and 2-1.

[0069] Obtain key parameters of the target well in the block, including the number of fractures n and reservoir permeability K. h Target reservoir thickness h o Original formation pressure P e Bottom-hole flowing pressure P wf Formation crude oil viscosity μ o Crude oil volume factor B o Crack half length L f Substituting into equations (2) and (2-1), the fracturing parameter production q of the well under ideal fracturing conditions is calculated. f .

[0070] Step S03: Determine the reservoir stimulation coefficient based on the reservoir parameter production and fracturing parameter production, combined with the actual daily production of the horizontal well in the initial stage.

[0071] In this invention, the method for determining the reservoir stimulation coefficient based on the reservoir parameter production and fracturing parameter production, combined with the actual daily production of the horizontal well in the early stage, includes: determining the reservoir stimulation coefficient using formula (3);

[0072] (3);

[0073] In the formula: q p (q r ,q f To consider reservoir parameter q r and fracturing parameters q f Post-evaluation yield, t / d; q a The daily production (t / d) of the horizontal well in the first year of its initial operation.

[0074] In this embodiment of the invention, based on the classification and evaluation of reservoirs actually drilled in horizontal wells and fracturing parameters, a reservoir stimulation coefficient Frac is established to characterize the degree of reservoir stimulation, as shown in Equation (3).

[0075] The q calculated in steps S01 and S02 r and q f Substitute into the post-evaluation production function q p (q r , q fIn this example, we take the weighted average of the two, i.e., q. p =(q r +q f ) / 2.

[0076] Subsequently, the reservoir stimulation coefficient Frac is calculated according to formula (3).

[0077] Frac>0 indicates successful stimulation, with the reservoir stimulation effect of the well slightly exceeding expectations; Frac<0 indicates insufficient stimulation.

[0078] Step S04: Determine the economic production capacity coefficient of horizontal wells based on the cumulative oil production of a single well.

[0079] In this invention, the method for determining the economic production capacity coefficient of a horizontal well based on the cumulative oil production of a single well includes:

[0080] (4);

[0081] In the formula: q ac The cumulative oil production of a single horizontal well over three years is expressed in tons.

[0082] In this embodiment of the invention, a horizontal well production capacity coefficient Qacc is established to characterize the oil production capacity of a horizontal well.

[0083] Obtain the three-year cumulative oil production q of the target well ac Substitute into formula (4) to calculate the economic productivity coefficient Qacc.

[0084] A Qacc > 0 indicates that the well meets the economic and technical limits, and the actual cumulative oil production exceeds the theoretical value predicted based on pure geological parameters, thus achieving the economic benefit threshold. A Qaac < 0 does not meet the economic and technical limits.

[0085] Step S05: Based on the reservoir stimulation coefficient and the economic production capacity coefficient, establish a well selection chart, and determine whether to perform energy replenishment or repeated fracturing based on the quadrant where the well point is located in the well selection chart.

[0086] In this invention, the method of determining whether to perform energy replenishment or repeated fracturing based on the quadrant of the well point in the well selection chart includes: the well selection chart is a plane rectangular coordinate system chart with the reservoir stimulation coefficient as the horizontal axis and the economic production capacity coefficient as the vertical axis; on the chart, well points falling into the first quadrant are the primary wells for increasing energy production; well points falling into the second quadrant are the secondary wells; and well points falling into the third quadrant are subjected to repeated fracturing.

[0087] In this embodiment of the invention, a comprehensive coefficient chart of economic production capacity and output is established, namely a well selection chart. The coordinates of all target wells in the work area, i.e. the Frac and Qacc points corresponding to the wells, are plotted on the well selection chart with Frac as the horizontal axis and Qacc as the vertical axis.

[0088] like Figure 2 As shown in the figure, different colored circles represent wells in different blocks. The chart is divided into four quadrants, with the first quadrant being the area where the reservoir stimulation coefficient Frac>0 and the economic productivity coefficient Qacc>0.

[0089] The second quadrant is the region where the reservoir stimulation coefficient Frac < 0 and the economic productivity coefficient Qacc > 0; the third quadrant is the region where the reservoir stimulation coefficient Frac < 0 and the economic productivity coefficient Qacc < 0; the fourth quadrant is the region where the reservoir stimulation coefficient Frac > 0 and the economic productivity coefficient Qacc < 0.

[0090] On the chart, if the target well is in the first quadrant (upper right quadrant), it indicates successful reservoir stimulation and strong economic production capacity, making it the primary target for increasing production. Energy replenishment measures, such as water injection and gas injection, should be prioritized. The second quadrant (upper left quadrant) requires comprehensive evaluation considering wellbore conditions and surface facilities. If the target well is in the third quadrant, it indicates insufficient overall stimulation or severe energy deficit in the area, necessitating repeated fracturing and optimization of the fracturing fluid system and scale of operations. Large-scale repeated fracturing should be prioritized for wells with higher absolute Qacc values.

[0091] After repeated fracturing, the Frac and Qacc of the well can be recalculated. If the well moves from the third quadrant to the fourth quadrant, it means that the engineering problem has been solved, but the economic benefits are still not up to standard. At this time, energy supplementation can be carried out on the well.

[0092] In this invention, at least one of the following methods is used to evaluate the formation energy deficit: production decline analysis, well test pressure prediction, and material balance method for evaluating formation deficit or pressure-oil exchange rate synergistic optimization method, in order to assess the formation energy deficit status and comprehensively determine the timing of energy enhancement measures.

[0093] In this embodiment of the invention, after determining whether to perform energy replenishment (energy enhancement and production increase) or repeated fracturing of the well, the dynamics are then viewed and the timing is set.

[0094] Using the method of diminishing returns analysis, i.e. Figure 3 The horizontal well production dynamic analysis curve shown; or the well test pressure prediction method, i.e. Figure 4 The diagram shows the near-wellbore formation pressure variation curve for horizontal wells; or the material balance method for evaluating formation deficit, as shown in Table 1, which presents typical horizontal well material balance evaluation results for deficit; or the pressure-oil exchange rate synergistic optimization method, i.e. Figure 5 The oil change rate curves and other methods shown are used to comprehensively determine the timing of energy enhancement measures under different pressure conditions and to design the scheme.

[0095] Table 1: Results of Material Balance Evaluation of Missing Volume in Typical Horizontal Wells

[0096]

[0097] The following uses the A well area of ​​tight oil in the Daqing Putaohua oilfield as an example to calculate q through regression analysis of reservoir classification and production status of wells put into production in the A well area. r =0.029*L I-1 +0.016*L I-2 +0.011*L II The fracturing parameter production q is predicted by applying the multi-fracture production prediction formula (2). f The production comprehensive coefficient Frac and the economic production capacity Qacc of horizontal wells were calculated using formulas (3) and (4), and the results are shown in Table 2.

[0098] Table 2: Reservoir Classification and Production Status of Wells in Well Area A

[0099]

[0100] It is understood that the various method embodiments mentioned above in this invention can be combined with each other to form combined embodiments without violating the principle and logic. Due to space limitations, this invention will not elaborate further.

[0101] The executor of the integrated well selection method for tight oil geology and engineering can be an integrated well selection device for tight oil geology and engineering. For example, the integrated well selection method for tight oil geology and engineering can be executed by terminal equipment, servers, or other processing equipment. The terminal equipment can be user equipment (UE), mobile devices, user terminals, terminals, cellular phones, cordless phones, personal digital assistants (PDAs), handheld devices, computing devices, vehicle-mounted devices, wearable devices, etc. In some possible implementations, this integrated well selection method for tight oil geology and engineering can be implemented by a processor calling computer-readable instructions stored in memory.

[0102] Those skilled in the art will understand that, in the above-described method of the specific implementation, the order in which each step is written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0103] This invention also provides an integrated well selection device for tight oil geological engineering, comprising: a reservoir parameter production determination unit, used to establish a reservoir parameter production prediction equation based on the tight oil reservoir classification of the work area, and determine the reservoir parameter production of oil wells in the work area according to the equation; a fracturing parameter production determination unit, used to determine the fracturing parameter production based on the horizontal well fracturing design parameters and using a multi-fracture production capacity prediction formula; a reservoir stimulation coefficient determination unit, used to determine the reservoir stimulation coefficient based on the reservoir parameter production and fracturing parameter production, combined with the initial actual daily production of the horizontal well; an economic production capacity coefficient determination unit, used to determine the economic production capacity coefficient of the horizontal well based on the cumulative oil production of a single well; and a well selection unit, used to establish a well selection chart based on the reservoir stimulation coefficient and the economic production capacity coefficient, and determine whether to perform energy supplementation or repeated fracturing based on the quadrant in which the well point is located on the well selection chart.

[0104] In some embodiments, the functions or modules and units included in the apparatus provided in this disclosure can be used to execute the methods described in the above method embodiments. The specific implementation can be referred to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0105] This disclosure also proposes a computer-readable storage medium storing computer program instructions, which, when executed by a processor, implement the aforementioned integrated well selection method for tight oil geology and engineering. The computer-readable storage medium may be a non-volatile computer-readable storage medium.

[0106] This disclosure also proposes an electronic device, including: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured to invoke the instructions stored in the memory to execute the aforementioned integrated well selection method for tight oil geology and engineering. The electronic device may be provided as a terminal, a server, or other form of device.

[0107] In view of the limitations of existing methods, the purpose of this invention is to provide a comprehensive well selection method for various energy enhancement methods in tight oil reservoirs. This invention provides a simple, systematic, and quantitative comprehensive evaluation chart for well standards applicable to tight oil energy replenishment, offering important reference for well selection for tight oil energy replenishment and single-well production enhancement decisions.

[0108] Compared to existing technologies, this invention studies various production enhancement methods for energy replenishment in tight oil reservoirs. In terms of production capacity evaluation, it comprehensively and quantitatively considers multiple related factors, forming a comprehensive parameter standard chart suitable for well selection in energy replenishment technology for onshore tight oil reservoirs. It adopts a dimensionless probability calculation method, which solves the problem that results obtained at different times, by different institutions or personnel cannot be compared horizontally. On the other hand, it can help show the changes in geological understanding as the work progresses and data is supplemented, and has greater convenience and systematicity.

[0109] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for integrated geological and engineering well selection in tight oil production, characterized in that, include: Based on the classification of tight oil reservoirs in the work area, a reservoir parameter production prediction equation is established, and the reservoir parameter production of oil wells in the work area is determined based on the equation. Based on the horizontal well fracturing design parameters, the fracturing parameter production rate is determined using the multi-fracture production capacity prediction formula. Based on the reservoir parameter production and fracturing parameter production, combined with the actual daily production of the horizontal well in the early stage, the reservoir stimulation coefficient is determined; wherein, the reservoir stimulation coefficient is determined using formula (3); （3）； In the formula: q p (q r ,q f To consider reservoir parameter q r and fracturing parameters q f Post-evaluation yield, t / d; q a This represents the daily production (t / d) of a horizontal well in its first year. Determine the economic production capacity coefficient of horizontal wells based on the cumulative oil production of a single well; Based on the reservoir stimulation coefficient and the economic production capacity coefficient, a well selection chart is established, and energy replenishment or repeated fracturing is determined according to the quadrant in which the well point is located on the well selection chart.

2. The integrated well selection method for tight oil geology and engineering according to claim 1, characterized in that, The reservoir parameter production prediction equation includes: q r =a*L I +b*L II +c*L III (1); In the formula: q r For tight oil horizontal well reservoir parameters, production rate is given; a, b, and c are constants; L I The length or thickness of a Class I tight oil reservoir; L II The length or thickness of a Class II tight oil reservoir; L III The length or thickness of a Class III tight oil reservoir.

3. The integrated well selection method for tight oil geology and engineering according to claim 1, characterized in that, The multi-fracture productivity prediction formula includes: （2）； in, (2-1); In the formula: q f For tight oil horizontal well fracturing parameters, production rate is given; n is the number of fractures; K h For reservoir permeability, mD; h o The target reservoir thickness is in meters (m); p e The original formation pressure is expressed in MPa; p wf Bottom hole flowing pressure, MPa; μ o B represents the viscosity of the formation crude oil, in MPa·s. o H1 is the crude oil volume factor; H1 is the influencing factor related to fracture parameters, f; β is the volume factor; h is the reservoir thickness; L is the horizontal section length; h f K represents the crack height. f Where m is the fracture permeability; c is the compressibility factor, f; r w The radius of the oil well supply is in meters (m); L f Let be the crack length, in meters; a and b are constants.

4. The integrated well selection method for tight oil geology and engineering according to claim 1, characterized in that, The method for determining the economic production capacity coefficient of horizontal wells based on the cumulative oil production of a single well includes: （4）； In the formula: q ac The cumulative oil production of a single horizontal well over three years is expressed in tons.

5. The integrated well selection method for tight oil geology and engineering according to claim 1, characterized in that, The method for determining whether to perform energy replenishment or repeated fracturing based on the quadrant of the well point in the well selection chart includes: The well selection chart is a plane rectangular coordinate system chart with the reservoir stimulation coefficient as the horizontal axis and the economic production capacity coefficient as the vertical axis; On the chart, wells falling into the first quadrant are the preferred wells for increasing production capacity; wells falling into the second quadrant are the secondary wells; and wells falling into the third quadrant are subject to repeated fracturing.

6. The integrated well selection method for tight oil geology and engineering according to any one of claims 1-5, characterized in that: By employing at least one of the following methods—production decline analysis, well test pressure prediction, and material balance method—to evaluate formation energy deficit or pressure-oil exchange rate synergistic optimization method, the formation energy deficit status is assessed, and the timing for implementing energy enhancement measures is comprehensively determined.

7. An integrated well selection device for tight oil geology and engineering, characterized in that, include: The reservoir parameter production determination unit is used to establish a reservoir parameter production prediction equation based on the classification of tight oil reservoirs in the work area, and to determine the reservoir parameter production of oil wells in the work area based on the equation. The fracturing parameter production determination unit is used to determine the fracturing parameter production based on the horizontal well fracturing design parameters and the multi-fracture production capacity prediction formula. The reservoir stimulation coefficient determination unit is used to determine the reservoir stimulation coefficient based on the reservoir parameter production and fracturing parameter production, combined with the actual daily production of the horizontal well in the early stage; wherein, the reservoir stimulation coefficient is determined using formula (3); （3）； In the formula: q p (q r ,q f To consider reservoir parameter q r and fracturing parameters q f Post-evaluation yield, t / d; q a This represents the daily production (t / d) of a horizontal well in its first year. Determine the economic production capacity coefficient of horizontal wells based on the cumulative oil production of a single well; The economic production capacity coefficient determination unit is used to determine the economic production capacity coefficient of horizontal wells based on the cumulative oil production of a single well. The well selection unit is used to establish a well selection chart based on the reservoir stimulation coefficient and the economic production capacity coefficient, and to determine whether to perform energy replenishment or repeated fracturing based on the quadrant in which the well point is located in the well selection chart.

8. An electronic device, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor is configured to invoke instructions stored in the memory to execute the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having computer program instructions stored thereon, characterized in that, When the computer program instructions are executed by the processor, they implement the method described in any one of claims 1 to 6.

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