Element inversion TOC-based hydrocarbon source rock evaluation method, terminal equipment and storage medium

Abstract

The invention relates to the technical field of element logging and hydrocarbon source rock evaluation, in particular to a hydrocarbon source rock evaluation method based on element inversion TOC, terminal equipment and a storage medium, and the method comprises the following steps: performing normalization processing on element data, or establishing an inversion model by using logged TOC data and regional element data, and realizing hydrocarbon source rock evaluation. According to the method, the relative contents of the ten elements such as Mg, Al, Si, P, S, Cl, K, Ca, Mn and Fe are respectively obtained by performing normalization processing on the element data, and the inversion model is established by using the logging TOC data and the regional element data, so that hydrocarbon source rock evaluation is realized, and a powerful technical guarantee is provided for hydrocarbon source rock development evaluation.

Description

Technical Field

[0001] The invention relates to the technical field of element logging and source rock evaluation, and is a method for evaluating source rocks based on element inversion TOC, a terminal device and a storage medium. Background Art

[0002] Source rock evaluation refers to a comprehensive evaluation of fine-grained sedimentary rocks that meet the lower limit of organic matter abundance in source rocks, combined with the geological conditions of the evaluation area. Its purpose is to further study its organic matter abundance, parent material type, thermal maturity and oil source comparison until the effective thickness, area and volume of the source rock are determined, and finally the total generation and expulsion of hydrocarbons in the source rock are calculated, and then the oil and gas resources in the basin (or region) are predicted in combination with various geological factors and conditions.

[0003] At present, the main indicator for evaluating the characteristics of source rocks on site is TOC (total organic carbon content). TOC can be obtained through traditional residual carbon analysis, but under the conditions of PDC drill bits and oil-based drilling fluids, the cuttings are in a mushy state, making sampling and cleaning difficult. The analysis time is long and affected by the pyrolysis temperature and time, so the results have a large error with the laboratory analysis data. Therefore, it is imperative to use element logging to invert TOC and realize on-site evaluation of source rocks. Summary of the invention

[0004] The present invention provides a method for evaluating source rocks based on element inversion TOC, a terminal device and a storage medium, which overcome the shortcomings of the above-mentioned prior art and can effectively solve the problems that the cuttings are mushy under the conditions of PDC drill bits and oil-based drilling fluids, the sampling and cleaning are difficult, and the errors with laboratory analysis data are large.

[0005] One of the technical solutions of the present invention is achieved through the following measures: a method for evaluating source rocks based on element inversion TOC, comprising the following steps: realizing source rock evaluation by normalizing element data, or establishing an inversion model using logged TOC data and element data of the region.

[0006] The following is a further optimization and / or improvement of one of the above-mentioned technical solutions:

[0007] When the element data were normalized as described above, the relative contents of Mg, Al, Si, P, S, Cl, K, Ca, Mn, and Fe were obtained and intersected with TOC;

[0008] The mathematical model is constructed as follows:

[0009] TOC=a·H d / (Al b ·K c )

[0010] After regression calculation, we get: TOC = 20.39 × H 0.7538 ×Al 0.0999 ×K -0.7868 R=0.788

[0011] H=(P+S+C1) / (F+K+Mn)

[0012] In the formula, a represents the correlation coefficient between quartz and silicon, d represents the correlation coefficient between potassium feldspar and potassium, and b represents the correlation coefficient between calcite and calcium. c represents the correlation coefficient between plagioclase and calcium, Al represents the relative content of aluminum, K represents the relative content of potassium, R represents the coefficient, P represents the relative content of phosphorus, S represents the relative content of sulfur, Cl represents the relative content of chlorine, F represents the relative content of fluorine, Mn represents the relative content of manganese, and H represents the ratio.

[0013] When the inversion model is established using the logged TOC data and the element data of the region, the fitting parameter model is established as follows:

[0014] TOC = a*(BZ 1 ^b)*(BZ 2 ^c)*(X^d)

[0015] BZ 1 =Si / (Si+Al+Fe)

[0016] BZ 2 =(P+S+Cl) / (K+Fe+Mn)

[0017] X=Ni*Mo*U*Cu

[0018] The model parameters are obtained:

[0019] TOC=0.24827*(BZ 1 ^-0.58214)*(BZ 2 ^0.55649)*(X^0.31968)

[0020] Where a represents the correlation coefficient between quartz and silicon, BZ 1 represents boron multiplied by sodium to the first power, b represents the correlation coefficient between calcite and calcium, BZ 2 represents boron multiplied by the square of sodium, c represents the correlation coefficient between plagioclase and calcium, X represents the relative content of xenon, d represents the correlation coefficient between potassium feldspar and potassium, Si represents the relative content of silicon, Al represents the relative content of aluminum, Fe represents the relative content of iron, P represents the relative content of phosphorus, S represents the relative content of sulfur, Cl represents the relative content of chlorine, K represents the relative content of potassium, Mn represents the relative content of manganese, Ni represents the relative content of nickel, Mo represents the relative content of molybdenum, U represents the relative content of uranium, and Cu represents the relative content of copper.

[0021] The second technical solution of the present invention is achieved through the following measures: a terminal device includes a memory and a processor, the memory stores a program that can be run on the processor, and the processor implements the above-mentioned method for evaluating source rocks based on element inversion TOC when executing the program.

[0022] The third technical solution of the present invention is achieved through the following measures: a storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the above-mentioned method for evaluating source rocks based on element inversion TOC.

[0023] The present invention normalizes the element data to obtain the relative contents of 10 elements, namely Mg, Al, Si, P, S, Cl, K, Ca, Mn and Fe, and establishes an inversion model using the logged TOC data and the element data of the region, thereby realizing source rock evaluation and providing a strong technical guarantee for source rock development and evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Attached Figure 1 Schematic diagram of the intersection of the relative content of K and TOC in an embodiment of the present invention.

[0025] Attached Figure 2 Schematic diagram of the intersection of the relative content of Al and TOC in the embodiment of the present invention.

[0026] Attached Figure 3 It is a schematic diagram of the intersection of the K element and the TOC in the embodiment of the present invention.

[0027] Attached Figure 4 It is a schematic diagram of the intersection of Fe element and TOC in an embodiment of the present invention.

[0028] Attached Figure 5 It is a schematic diagram of the intersection of the S element and the TOC in an embodiment of the present invention.

[0029] Attached Figure 6 It is a schematic diagram of the intersection of ratio and TOC in an embodiment of the present invention.

[0030] Attached Figure 7 It is a trend chart of TOC variation between the inversion calculated TOC and the laboratory analyzed TOC in the embodiment of the present invention.

[0031] Attached Figure 8 It is a schematic diagram showing that the correlation between TOC and copper is 0.5965 in an embodiment of the present invention.

[0032] Attached Fig. 9 It is a schematic diagram showing that the correlation between TOC and Mo is 0.5758 in an embodiment of the present invention.

[0033] Attached Fig.10 It is a schematic diagram showing that the correlation between TOC and U is 0.4451 in an embodiment of the present invention.

[0034] Attached Fig.11 It is a schematic diagram showing that the correlation between TOC and Ni is 0.6078 in an embodiment of the present invention.

[0035] Attached Fig.12 It is a TOC curve diagram of elements and well logging interpretation in an embodiment of the present invention.

[0036] Attached Fig.13 It is a variation trend diagram of logging TOC and fitting TOC in an embodiment of the present invention. DETAILED DESCRIPTION

[0037] The present invention is not limited by the following embodiments, and specific implementation methods can be determined based on the technical solution of the present invention and actual conditions.

[0038] In the present invention, for the convenience of description, the description of the relative position relationship of each component is described according to the layout of the drawings in the specification, such as: the position relationship of front, back, up, down, left, right, etc. is determined according to the layout direction of the drawings in the specification.

[0039] The present invention will be further described below in conjunction with embodiments and drawings:

[0040] Embodiment 1: As attached Figure 1 To Attachment Fig.13 As shown, the method for evaluating source rocks based on element inversion TOC includes the following steps: evaluating source rocks by normalizing element data or establishing an inversion model using logged TOC data and element data of the region.

[0041] Among them, when the element data are normalized, the relative contents of 10 elements such as Mg, Al, Si, P, S, Cl, K, Ca, Mn, and Fe are obtained and intersected with TOC (such as Figure 1 to Figure 2 As shown in the figure, the correlation coefficient of K increased from 0.34 to 0.47, and the correlation coefficient of Al was 0.31. Therefore, the relative contents and ratios of K and Al were used to regress TOC. The "intersection" in "intersecting with TOC" means intersecting. Figure 1 to Figure 2 For example, the intersection of the dotted line and the solid point means that the correlation coefficient is calculated, and then the line type formed by the correlation coefficient is compared with the corresponding element to finally form an intersection.

[0042] By intersecting the TOC of the element logging with the laboratory analysis (such as Figures 3 to 6As shown in Figure 2, it was found that the correlation coefficients between TOC and S, K, Fe, and the ratios were 0.34-0.59. The meaning of "intersection" in "intersection of the plates" is the same as above.

[0043] Through analysis, TOC is inversely proportional to K and Al, and directly proportional to the ratio, so the mathematical model is constructed as follows:

[0044] TOC=a·H d / (Al b ·K c )

[0045] After regression calculation, we get: TOC = 20.39 × H 0.7538 ×Al 0.0999 ×K -0.7868 R=0.788

[0046] H=(P+S+C1) / (F+K+Mn)

[0047] In the formula, a represents the correlation coefficient between quartz and silicon, d represents the correlation coefficient between potassium feldspar and potassium, and b represents the correlation coefficient between calcite and calcium. c represents the correlation coefficient between plagioclase and calcium, Al represents the relative content of aluminum, K represents the relative content of potassium, R represents the coefficient, P represents the relative content of phosphorus, S represents the relative content of sulfur, Cl represents the relative content of chlorine, F represents the relative content of fluorine, Mn represents the relative content of manganese, and H represents the ratio.

[0048] The regression effect is as follows Figure 7 As shown in the figure, it can be seen that the TOC calculated by inversion has the same trend as the TOC analyzed by laboratory. The regression coefficient is 0.788, and the following factors need to be considered: First, whether there is an error in the well depth of TOC data and element data. If the same sample is used for parallel analysis, the correlation may be higher; second, the difference is calculated by statistically analyzing the element content of the core in the same layer in the region.

[0049] Among them, when using the logged TOC data and the element data of this area to establish the inversion model, the logging interpretation data and element equipment data are used as examples to establish the platform TOC inversion model. When the shale contains organic carbon and sulfide, the adsorption of clay particles on U ions is enhanced, and the U content in clay minerals increases significantly; Siliceous biogenesis is of great significance to shale gas exploration and development, indicating that the sedimentary environment is a silicon-rich deep-water shelf, which is conducive to the preservation of organisms and the formation of organic-rich shale; V / Ni, Ni / Co and U / Th ratios are positively correlated with TOC values, and the increase in their values ​​reflects the transition of the sedimentary environment from an oxidizing environment to a reducing environment, such as Figures 8 to 11 shown.

[0050] like Fig.12As shown in the figure, it can be seen from the TOC curve of elements and logging interpretation that the change trends of Cu, Mo, Ni, and U are similar to TOC, the MO content is within 2ppm, and the Ni content is within 200ppm. Multiplication is used to amplify the change trend characteristics. Referring to the structure of the model established in the evaluation well, the fitting parameter model is established as follows:

[0051] TOC = a*(BZ 1 ^b)*(BZ 2 ^c)*(X^d)

[0052] BZ 1 =Si / (Si+Al+Fe)

[0053] BZ 2 =(P+S+C1) / (K+Fe+Mn)

[0054] X=Ni*Mo*U*Cu

[0055] The model parameters are obtained:

[0056] TOC=0.24827*(BZ 1 ^-0.58214)*(BZ 2 ^0.55649)*(X^0.31968)

[0057] In the above formulas, a represents the correlation coefficient between quartz and silicon, BZ 1 represents boron multiplied by sodium to the first power, b represents the correlation coefficient between calcite and calcium, BZ 2 represents boron multiplied by the square of sodium, c represents the correlation coefficient between plagioclase and calcium, X represents the relative content of xenon, d represents the correlation coefficient between potassium feldspar and potassium, Si represents the relative content of silicon, Al represents the relative content of aluminum, Fe represents the relative content of iron, P represents the relative content of phosphorus, S represents the relative content of sulfur, Cl represents the relative content of chlorine, K represents the relative content of potassium, Mn represents the relative content of manganese, Ni represents the relative content of nickel, Mo represents the relative content of molybdenum, U represents the relative content of uranium, and Cu represents the relative content of copper.

[0058] The inversion effect is as follows Fig.13 As shown in the figure, it can be seen that the content and change trend of logging TOC and fitting TOC are relatively consistent.

[0059] Example 2: An embodiment of the present invention provides a terminal device, which includes a memory, a processor, a communication interface and a communication bus. The memory stores a program that can be run on the processor. When the processor executes the program, it implements the method for evaluating source rocks based on element inversion TOC described in the above embodiment.

[0060] The processor may be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, field programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0061] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs, non-transient computer executable programs and units, such as the corresponding program units in the above method embodiments of the present invention. The processor executes various functional applications of the processor and works data processing by running the non-transient software programs, instructions and modules stored in the memory, that is, the method for evaluating source rocks based on element inversion TOC described in the above embodiment is realized.

[0062] The memory may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required by at least one function; the data storage area may store data created by the processor, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage device. The memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. The one or more programs are stored in the memory, and when executed by the processor, the method for evaluating source rocks based on element inversion TOC described in the above embodiment is executed.

[0063] Example 3: An embodiment of the present invention provides a storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement a method for evaluating source rocks based on elemental inversion TOC as described in any one of the method embodiments provided above.

[0064] The storage medium may be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device. The storage medium may also be an external storage device of the terminal device, such as a plug-in hard disk, smart memory card, secure digital card, flash memory card, etc. equipped on the terminal device.

[0065] The above technical features constitute the embodiments of the present invention, which have strong adaptability and implementation effect. Non-essential technical features can be added or reduced according to actual needs to meet the requirements of different situations.

Claims

1. A method for evaluating source rocks based on element inversion TOC, characterized in that The following steps are involved: The source rock evaluation can be achieved by normalizing the element data or establishing an inversion model using the logged TOC data and the element data of the area.

2. The method for evaluating source rocks based on element inversion TOC according to claim 1 is characterized in that When the element data were normalized, the relative contents of Mg, Al, Si, P, S, Cl, K, Ca, Mn, and Fe were obtained and intersected with TOC; The mathematical model is constructed as follows: OCD=a·H d / (To the b ·K c ) After regression calculation, we get: TOC = 20.39 × H 0.7538 ×Al 0.0999 ×K -0.7868 R=0.788 H=(P+S+Cl) / (F+K+Mn) In the formula, a represents the correlation coefficient between quartz and silicon, d represents the correlation coefficient between potassium feldspar and potassium, b represents the correlation coefficient between calcite and calcium, c represents the correlation coefficient between plagioclase and calcium, Al represents the relative content of aluminum, K represents the relative content of potassium, R represents the coefficient, P represents the relative content of phosphorus, S represents the relative content of sulfur, Cl represents the relative content of chlorine, F represents the relative content of fluorine, Mn represents the relative content of manganese, and H represents the ratio.

3. The method for evaluating source rocks based on element inversion TOC according to claim 1 or 2, characterized in that When the inversion model is established using the logged TOC data and the element data of this area, the fitting parameter model is established as follows: TOC=a*(BZ 1 ∧b)*(BZ 2 ∧c)*(X∧d) BZ 1 =Si / (Si+Al+Fe) BZ 2 =(P+S+Cl) / (K+Fe+Mn) X=Ni*Mo*U*Cu The model parameters are obtained: TOC=0.24827*(BZ 1 ∧-0.58214)*(BZ 2 ∧0.55649)*(X∧0.31968) Where a represents the correlation coefficient between quartz and silicon, BZ 1 represents boron multiplied by sodium to the first power, b represents the correlation coefficient between calcite and calcium, BZ 2 represents boron multiplied by the square of sodium, c represents the correlation coefficient between plagioclase and calcium, X represents the relative content of xenon, d represents the correlation coefficient between potassium feldspar and potassium, Si represents the relative content of silicon, Al represents the relative content of aluminum, Fe represents the relative content of iron, P represents the relative content of phosphorus, S represents the relative content of sulfur, Cl represents the relative content of chlorine, K represents the relative content of potassium, Mn represents the relative content of manganese, Ni represents the relative content of nickel, Mo represents the relative content of molybdenum, U represents the relative content of uranium, and Cu represents the relative content of copper.

4. A terminal device, comprising a memory and a processor, wherein the memory stores a program that can be run on the processor, characterized in that: When the processor executes the program, the method for evaluating source rocks based on element inversion TOC as described in any one of claims 1 to 3 is implemented.

5. A storage medium, characterized in that: The storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the method for evaluating source rocks based on element inversion TOC as described in any one of claims 1 to 3.

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