Method, device and equipment for interpretation and evaluation while drilling of biodegradable hydrocarbon reservoir

Abstract

The invention discloses a while-drilling interpretation and evaluation method, device and equipment for a biodegradable hydrocarbon reservoir, and the method comprises the steps: carrying out the partitioning of a research region, and collecting all analysis and test parameter data of a tested oil layer, a tested layer and a typical layer corresponding to the same main stratum in the research region; screening out a biodegradable hydrocarbon reservoir from the main stratum on the basis of various analysis and assay parameter data; the method comprises the following steps of: screening key parameters from various analysis and test parameter data according to the oil and gas geochemistry principle and the fluid property of the biodegradable oil and gas reservoir and the correlation of the various analysis and test parameter data by aiming at the biodegradable oil and gas reservoir; constructing an oil-water partition plate based on the key parameters, and establishing a reservoir fluid property prediction model based on the oil-water partition plate; the while-drilling interpretation evaluation is carried out based on the key parameters of the fluid in the to-be-evaluated biodegradable hydrocarbon reservoir and the prediction model, the fluid property of the fluid in the to-be-evaluated biodegradable hydrocarbon reservoir is judged, and the timeliness and accuracy of on-site identification of the while-drilling fluid property of the hydrocarbon reservoir are improved.

Description

Technical Field

[0001] This invention relates to the field of oil and gas engineering technology, and in particular to a method, apparatus and equipment for interpreting and evaluating biodegradable oil and gas reservoirs while drilling. Background Technology

[0002] For shallow-buried oil reservoirs, they are highly susceptible to bacterial degradation, resulting in varying degrees of biodegradation and the formation of secondary oil and gas layers. Since biodegraded oil and gas layers are products of the destruction of normal crude oil, their response characteristics in well logging data differ significantly from those of normal oil and gas layers. These differences are mainly manifested in high gas logging anomalies, high C1 content, high actual oil content, and the absence of n-alkane peaks in pyrolysis chromatography. Furthermore, well testing results show significant variations in fluid production, including the presence of oil, gas, and water layers. In most cases, biodegradation is one of the primary causes of crude oil thickening, all of which greatly complicate the interpretation and evaluation of oil and gas layers. Summary of the Invention

[0003] To improve the timeliness and accuracy of identifying the fluid properties of special oil and gas reservoirs during drilling, and to address the issues of high methane content and loss of evaluation sensitivity in biodegradable reservoirs, as well as the challenges of high oil content due to heavier oil, which negatively impacts parameters such as total hydrocarbon content (Pg) in evaluation logging analysis, this invention further avoids the drawbacks of subjective human evaluation, lengthy interpretation cycles, and lack of quantitative standards. Furthermore, to improve the accuracy of interpretation and evaluation, and to provide a basis for timely discovery of oil and gas reservoirs, reservoir evaluation, and subsequent oil testing and selection, this invention provides a method, apparatus, and equipment for interpreting and evaluating biodegradable oil and gas reservoirs during drilling.

[0004] In a first aspect, embodiments of the present invention provide a method for interpreting and evaluating biodegradable oil and gas reservoirs while drilling, which may include:

[0005] The study area collects various analytical and testing parameters of the tested oil layers, the tested layers, and the typical layers corresponding to the same main strata in the study area, and screens out biodegradable oil and gas layers from the main strata based on the analytical and testing parameters.

[0006] For the biodegradable oil and gas reservoir, based on the principles of oil and gas geochemistry, and the correlation between the fluid properties of the biodegradable oil and gas reservoir and the various analytical parameters, key parameters are selected from the various analytical parameters.

[0007] Based on the key parameters, an oil-water partition map is constructed, and based on the oil-water partition map, a reservoir fluid property prediction model is established.

[0008] Based on the key parameters of the fluids in the biodegradable oil and gas reservoir to be evaluated and the reservoir fluid property prediction model, the fluid properties of the fluids in the biodegradable oil and gas reservoir to be evaluated are interpreted and evaluated while drilling to determine the fluid properties of the fluids in the biodegradable oil and gas reservoir to be evaluated.

[0009] In one embodiment, the step of constructing an oil-water partition map based on the key parameters and establishing a reservoir fluid property prediction model based on the oil-water partition map may include:

[0010] Based on the key parameters, crude oil property index formulas and oil content index formulas are constructed respectively, and the oil-water zoning map is constructed based on the crude oil property index formulas and the oil content index formulas.

[0011] Multiple linear regression was performed based on the oil-water zoning map to establish a reservoir fluid property prediction model; wherein the reservoir fluid properties include: oil layer, oil-water co-layer, and water layer.

[0012] In another embodiment, the step of constructing the crude oil property index relationship and the oil content index relationship based on the key parameters, and constructing the oil-water zoning map based on the crude oil property index relationship and the oil content index relationship, may include:

[0013] Based on the key parameters and structural matrix, crude oil property index formulas and oil content index formulas are constructed respectively.

[0014] The oil-water zoning map is constructed based on the crude oil property index relationship and the oil-bearing index relationship to distinguish oil layers, oil-water co-layers, and water layers.

[0015] In another embodiment, the step of performing multiple linear regression based on the oil-water partitioning map to establish a reservoir fluid property prediction model may include:

[0016] The key parameters are used to determine the Bayesian discriminant function coefficients for different reservoir fluid property classifications based on Fisher's discriminant method, so as to determine the reservoir fluid property classification results corresponding to the key parameters;

[0017] Based on the Bayesian discriminant function coefficients, a multiple linear regression was performed on the oil-water zoning map to establish a reservoir fluid property prediction model with different fluid properties as dependent variables and the key parameters as independent variables.

[0018] In another embodiment, the step of performing drilling interpretation and evaluation based on key parameters of the fluid in the biodegradable oil and gas reservoir to be evaluated and the reservoir fluid property prediction model to determine the fluid properties of the fluid in the biodegradable oil and gas reservoir to be evaluated may include:

[0019] The key parameters of the fluid in the biodegradable oil and gas reservoir to be evaluated are input into the reservoir fluid property prediction model, and the reservoir fluid property prediction model corresponding to the maximum value of each reservoir fluid property prediction model is taken as the fluid property of the fluid in the biodegradable oil and gas reservoir to be evaluated.

[0020] In another embodiment, the step of screening biodegradable oil and gas reservoirs from the main formation based on the analytical and testing parameters may include:

[0021] Based on the analytical parameters described above, biodegradable oil and gas reservoirs are screened from the main formations using gas component analysis, physical oil content determination, and / or pyrolysis chromatographic curve morphology analysis.

[0022] Secondly, embodiments of the present invention provide a method for establishing a reservoir fluid property prediction model, which may include:

[0023] The study area collects various analytical and testing parameters of the tested oil layers, the tested layers, and the typical layers corresponding to the same main strata in the study area, and screens out biodegradable oil and gas layers from the main strata based on the analytical and testing parameters.

[0024] For the biodegradable oil and gas reservoir, based on the principles of oil and gas geochemistry, and the correlation between the fluid properties of the biodegradable oil and gas reservoir and the various analytical parameters, key parameters are selected from the various analytical parameters.

[0025] Based on the key parameters, an oil-water zoning map is constructed, and a reservoir fluid property prediction model is established based on the oil-water zoning map.

[0026] Thirdly, embodiments of the present invention provide a drilling interpretation and evaluation device for biodegradable oil and gas reservoirs, which may include:

[0027] The collection module is used to collect various analytical and testing parameter data of the tested oil layers, the tested layers, and the typical layers corresponding to the same main strata in the study area, in blocks of the study area;

[0028] A biodegradable oil and gas reservoir screening module is used to screen out biodegradable oil and gas reservoirs from the main formations based on the analytical and testing parameters mentioned above.

[0029] The key parameter screening module is used to screen key parameters from the analytical parameters data based on the principles of oil and gas geochemistry, the fluid properties of the biodegradable oil and gas layer, and the correlation between the analytical parameters data.

[0030] The prediction model building module is used to construct an oil-water partition map based on the key parameters, and to build a reservoir fluid property prediction model based on the oil-water partition map.

[0031] The evaluation module is used to perform drilling interpretation and evaluation based on the key parameters of the fluid in the biodegradable oil and gas reservoir to be evaluated and the reservoir fluid property prediction model, so as to determine the fluid properties of the fluid in the biodegradable oil and gas reservoir to be evaluated.

[0032] Fourthly, embodiments of the present invention provide an apparatus for establishing a reservoir fluid property prediction model, which may include:

[0033] The collection module is used to collect various analytical and testing parameter data of the tested oil layers, the tested layers, and the typical layers corresponding to the same main strata in the study area, in blocks of the study area;

[0034] A biodegradable oil and gas reservoir screening module is used to screen out biodegradable oil and gas reservoirs from the main formations based on the analytical and testing parameters mentioned above.

[0035] The key parameter screening module is used to screen key parameters from the analytical parameters data based on the principles of oil and gas geochemistry, the fluid properties of the biodegradable oil and gas layer, and the correlation between the analytical parameters data.

[0036] The prediction model building module is used to construct an oil-water partition map based on the key parameters, and to build a reservoir fluid property prediction model based on the oil-water partition map.

[0037] Fifthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the drilling interpretation and evaluation method for biodegradable oil and gas reservoirs as described in the first aspect, or the method for establishing a reservoir fluid property prediction model as described in the second aspect.

[0038] In a sixth aspect, embodiments of the present invention provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the drilling interpretation and evaluation method for biodegradable oil and gas reservoirs as described in the first aspect, or the method for establishing a reservoir fluid property prediction model as described in the second aspect.

[0039] The beneficial effects of the above-described technical solutions provided in the embodiments of the present invention include at least the following:

[0040] This invention provides a method, apparatus, and equipment for interpreting and evaluating biodegradable oil and gas reservoirs while drilling. This evaluation method significantly improves the timeliness and accuracy of identifying the fluid properties of special oil and gas reservoirs during drilling. It addresses the challenges of high methane content in biodegradable reservoirs, where component characteristics no longer provide evaluation sensitivity. Furthermore, it addresses the thorny issues of high physical levels due to the heavy oil content, which negatively impacts parameters such as Pg in evaluation logging analysis. This method avoids the drawbacks of subjective human evaluation, time-consuming interpretation and evaluation cycles, and lack of quantitative judgment standards. The interpretation and evaluation accuracy rate is significantly improved, providing a basis for timely discovery of oil and gas reservoirs, reservoir evaluation, and subsequent oil testing and selection, thus offering timely and reliable technical support for exploration and development decisions.

[0041] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0042] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0043] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0044] Figure 1 This is a flowchart of the method for establishing a reservoir fluid property prediction model provided in this embodiment of the invention;

[0045] Figure 2 This is a schematic diagram of the structure of the apparatus for establishing a reservoir fluid property prediction model provided in an embodiment of the present invention;

[0046] Figure 3 This is a flowchart of the drilling interpretation and evaluation method for biodegradable oil and gas reservoirs provided in this embodiment of the invention;

[0047] Figure 4 This is an example of a comprehensive logging diagram of well BQ2-7X in block BQ provided in this embodiment of the invention;

[0048] Figure 5 This is a schematic diagram of the structure of the drilling interpretation and evaluation device for biodegradable oil and gas reservoirs provided in an embodiment of the present invention. Detailed Implementation

[0049] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0050] The inventors found in practical work that existing evaluation techniques can only conduct comprehensive evaluations after drilling, which is time-consuming and cannot meet the requirements for identifying biodegradable oil and water layers during drilling. Furthermore, existing evaluation techniques require the differentiation of biodegradable oil and gas layers from normal oil and gas layers using gas composition analysis, physical oil content levels, and pyrolysis chromatography. First, the morphology of the pyrolysis chromatographic curve is used to determine whether the fluid is in the oil or gas phase; then, qualitative interpretation of the fluid is performed using total hydrocarbon and geochemical data. In actual evaluation, there is a strong degree of human subjectivity and a lack of quantitative judgment standards, especially in the evaluation of oil-water co-layers and oil-water-bearing layers, which has significant limitations and may even lead to substantial misjudgments of reservoir fluid properties. This requires high-level personnel and equipment, and the long interpretation cycle limits its application in the field during drilling. Therefore, there is an urgent need to establish a method for interpreting and evaluating biodegradable oil and gas layers during drilling to solve the interpretation bottleneck, further improve the interpretation accuracy, and provide effective technical support for the timely discovery of oil and gas layers. In view of the above problems, this invention is proposed to provide a method, apparatus, and equipment for interpreting and evaluating biodegradable oil and gas layers during drilling that overcomes or at least partially solves the above problems.

[0051] Example 1

[0052] Embodiment 1 of this invention provides a method for establishing a reservoir fluid property prediction model, referring to... Figure 1 As shown, the method may include the following steps:

[0053] Step S11: Collect various analytical and testing parameters of the tested oil layers, the tested replacement layers, and the typical layers corresponding to the same main strata in the study area, and screen out biodegradable oil and gas layers from the main strata based on the various analytical and testing parameters.

[0054] It should be noted that, in the embodiments of the present invention, the aforementioned "tested reservoir" refers to a reservoir (oil and gas layer) that has been put into production but has not undergone oil testing; the aforementioned "typical layer" refers to an oil layer, oil-water co-existing layer, or water layer recognized by those skilled in the art. The analytical and testing parameters mentioned above in the embodiments of the present invention can include five major categories: lithology, physical properties, oil and gas content, crude oil properties, and oil testing conclusions. During data collection, the analytical and testing parameters are statistically analyzed by dividing these five major categories into 49 sub-items, and this data volume is as rich and detailed as possible.

[0055] In this step, biodegradable oil and gas reservoirs are screened using traditional and mature methods based on various analytical parameters. Specifically, based on various analytical parameters, biodegradable oil and gas reservoirs are screened from the main formations using gas component analysis, physical samples (rock cuttings, cores, wall cores) for oil-bearing level determination, and / or pyrolysis chromatographic curve morphology analysis.

[0056] In a specific example, taking the main formation of an oil and gas field as an example, statistics show that the main oil-bearing layer is mainly in the BQ block. 65 wells have been drilled in this block, and the main oil and gas showing sections are concentrated in the Ed3 section, with burial depths ranging from 1300 to 2000 meters vertically. Biodegradation is widespread. Well BQ2-7X, in particular, is also affected by biodegradation in the Ed3 section, resulting in a significant difference in its logging response characteristics compared to normal oil and gas layers. These differences include high gas logging anomalies, high C1 values ​​(all between 98-99%), high oil-bearing levels in core samples, high Pg values ​​in pyrolysis molecules, and incomplete n-alkane peaks in gas chromatography—all characteristics consistent with biodegradation-induced damage logging. Gas analysis data for total hydrocarbons, components, and geochemical pyrolysis were collected for this block. In this specific example, over 600 sample points were collected, including 17,680 data points (analytical parameters) for block BQ1, 2,612 data points for block BQ2, and 702 data points for block BQ9. Biodegradable oil and gas reservoirs were then identified and screened from these collected data points using traditional, established methods.

[0057] Step S12: For biodegradable oil and gas reservoirs, based on the principles of oil and gas geochemistry, as well as the correlation between the fluid properties of biodegradable oil and gas reservoirs and various analytical parameters, key parameters are selected from the various analytical parameters.

[0058] In this step, based on the principles of petroleum geochemistry, the total hydrocarbon value (T) is measured. g The value of pyrolysis liquid hydrocarbons (S1) reflects the oil and gas content of the reservoir and the total yield index. Yield Index The properties of crude oil in a reservoir reflect its quality and determine whether it is easy for the crude oil to flow out of the formation later. Hydrocarbon ratios such as the propane to ethane ratio (C3 / C2), the isoalkanes to n-alkanes ratio (iC4 / nC4), and isopentane (iC5) are closely related to the source rock type, thermal evolution, and secondary changes after hydrocarbon accumulation. Furthermore, based on the characteristics (fluid properties) of biodegradable hydrocarbon reservoirs and the correlation analysis of various analytical parameters, the total hydrocarbon value (T) in gas logging is selected as a key indicator. gThe following parameters are used to construct the oil-water partitioning map and reservoir fluid property prediction model in this embodiment of the invention: pyrolysis liquid hydrocarbons (S1), propane to ethane ratio (C3 / C2), isoalkanes to n-alkanes ratio (iC4 / nC4), isopentane (iC5), total yield index (TPI), and yield index (PM). Furthermore, it should be noted that SPSS mathematical analysis software can be used in this embodiment to perform correlation analysis between fluid properties and various analytical parameters in biodegradable oil and gas reservoirs to screen out key parameters.

[0059] Step S13: Construct an oil-water zoning map based on key parameters, and establish a reservoir fluid property prediction model based on the oil-water zoning map.

[0060] In this embodiment, step S13 is mainly divided into two steps, as follows:

[0061] Step (1): Based on key parameters, construct the crude oil property index relationship and the oil-bearing index relationship respectively, and then construct an oil-water zoning map based on the crude oil property index relationship and the oil-bearing index relationship. In this step (1), firstly, based on key parameters and structural matrix, construct the crude oil property index relationship and the oil-bearing index relationship respectively; then, construct an oil-water zoning map based on the crude oil property index relationship and the oil-bearing index relationship to distinguish oil layers, oil-water co-layers, and water layers.

[0062] In this embodiment of the invention, a structure matrix is ​​used, which is the aggregate intraclass correlation coefficient between the discriminant variable and the standardized discriminant function. The variables are sorted according to the absolute magnitude of the intraclass correlation, indicating the aggregate intraclass correlation between the discriminant variable and the standardized canonical discriminant function. Based on this, function F1 has a strong correlation with TPI and PM and can be used as the "crude oil property index"; function F2 has a strong correlation with total hydrocarbons, S1, etc. and can be used as the "oil content index".

[0063] The crude oil property index relationship and the oil content index relationship constructed in this embodiment are as follows:

[0064] Oil content index F1 = a1 * T g +b1*(C3 / C2)+c1*(iC4 / nC4)+d1*S1+e1*TPI-f1*PM+g1*iC5-h1; where a1, b1, c1, d1, e1, f1, g1, and h1 are fitting constants;

[0065] Crude oil property index F2 = a2 * T g +b2*(C3 / C2)+c2*(iC4 / nC4)+d2*S1+e2*TPI-f2*PM+g2*iC5-h2; where a2, b2, c2, d2, e2, f2, g2, and h2 are fitting constants;

[0066] In this embodiment of the invention, Y = F1 and X = F2 are used to construct an oil-water partitioning map to clearly distinguish between oil layers, oil-water co-layers, and water layers.

[0067] Step (2): Based on the oil-water zoning map, perform multiple linear regression to establish a reservoir fluid property prediction model; where reservoir fluid properties include: oil layer, oil-water co-concentration, and water layer. In this step (2), firstly, the key parameters are determined based on Fisher's discriminant method to determine the Bayesian discriminant function coefficients for different reservoir fluid property classifications, so as to determine the reservoir fluid property classification results corresponding to the key parameters; then, based on the Bayesian discriminant function coefficients, perform multiple linear regression on the oil-water zoning map, and establish a reservoir fluid property prediction model with different fluid properties as dependent variables and key parameters as independent variables.

[0068] In this embodiment of the invention, the Fisher linear discriminant function method, also known as the Bayesian discriminant function coefficient, is used to determine the classification function coefficients. The parameters of each sample can be substituted into the classification functions of different classes; the class with the largest function value is the classification result for that sample. Then, multiple linear regression is performed on the fluid properties and analytical parameters (screened key parameters) of the biodegradable oil and gas reservoirs in the study area. A reservoir fluid property prediction model is established with different fluid properties as the dependent variable and the key parameters as the independent variables.

[0069] In this embodiment of the invention, the specific reservoir fluid property prediction model is as follows:

[0070] Oil layer = a3 * T g +b3*(C3 / C2)+c3*(iC4 / nC4)+d3*S1+e3*TPI-f3*PM+g3*iC5-h3; where a3, b3, c3, d3, e3, f3, g3, and h3 are the multiple linear regression fitting constants;

[0071] Oil and water in the same layer = a4*T g +b4*(C3 / C2)+c4*(iC4 / nC4)+d4*S1+e4*TPI-f4*PM+g4*iC5-h4; where a4, b4, c4, d4, e4, f4, g4, and h4 are the fitting constants for the multiple linear regression.

[0072] Water layer = a5 * T g +b5*(C3 / C2)+c5*(iC4 / nC4)+d5*S1+e5*TPI-f5*PM+g5*iC5-h5; where a5, b5, c5, d5, e5, f5, g5, and h5 are the fitting constants for the multiple linear regression.

[0073] The method for establishing the reservoir fluid property prediction model provided in this embodiment of the invention is based on various evaluation logging analysis data of biodegradable oil reservoirs, captures different fluid property sensitive factors (key parameters), and performs screening and statistical analysis based on the results of drilled well test data, commissioned test data and typical layer data in the region, classifies and judges fluid properties and constructs a linear regression model. By extracting key parameters through the analysis and testing data of test production data and related influencing factors, the correlation between fluid properties and key parameters is explored, thereby achieving accurate identification of reservoir fluid properties and meeting the needs of timely and accurate reservoir evaluation in drilling operations.

[0074] Based on the same inventive concept, Embodiment 1 of this invention also provides an apparatus for establishing a reservoir fluid property prediction model, referring to... Figure 2 As shown, the device may include: a collection module 21, a biodegradable oil and gas reservoir screening module 22, a key parameter screening module 23, and a prediction model building module 24. Its working principle is as follows:

[0075] The collection module 21 is used to collect various analytical and testing parameters of the tested oil layers, the tested layers, and the typical layers corresponding to the same main strata in the study area, in the study area blocks;

[0076] The biodegradable oil and gas reservoir screening module 22 is used to screen out biodegradable oil and gas reservoirs from the main formations based on various analytical and testing parameters.

[0077] The key parameter screening module 23 is used to screen key parameters from various analytical parameters data for biodegradable oil and gas reservoirs based on the principles of oil and gas geochemistry and the correlation between the fluid properties of biodegradable oil and gas reservoirs and various analytical parameters data.

[0078] The prediction model building module 24 is used to construct an oil-water zoning map based on key parameters and to build a reservoir fluid property prediction model based on the oil-water zoning map.

[0079] In an optional embodiment, the prediction model building module 24 described above is specifically used for:

[0080] Based on the key parameters, crude oil property index formulas and oil content index formulas are constructed respectively, and the oil-water zoning map is constructed based on the crude oil property index formulas and the oil content index formulas.

[0081] Multiple linear regression was performed based on the oil-water zoning map to establish a reservoir fluid property prediction model; wherein the reservoir fluid properties include: oil layer, oil-water co-layer, and water layer.

[0082] In another optional embodiment, the prediction model building module 24 is further configured to: construct crude oil property index formulas and oil content index formulas based on the key parameters and structure matrix, respectively;

[0083] The oil-water zoning map is constructed based on the crude oil property index relationship and the oil-bearing index relationship to distinguish oil layers, oil-water co-layers, and water layers.

[0084] In another optional embodiment, the prediction model building module 24 is further configured to:

[0085] The key parameters are used to determine the Bayesian discriminant function coefficients for different reservoir fluid property classifications based on Fisher's discriminant method, so as to determine the reservoir fluid property classification results corresponding to the key parameters;

[0086] Based on the Bayesian discriminant function coefficients, a multiple linear regression was performed on the oil-water zoning map to establish a reservoir fluid property prediction model with different fluid properties as dependent variables and the key parameters as independent variables.

[0087] In another optional embodiment, the above-mentioned biodegradable oil and gas reservoir screening module 22 is specifically used to: screen out biodegradable oil and gas reservoirs from the main formation based on the analytical and testing parameter data, using gas component analysis methods, physical oil content determination methods, and / or pyrolysis chromatographic curve morphology analysis methods.

[0088] Based on the same inventive concept, Embodiment 1 of the present invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-mentioned method for establishing a reservoir fluid property prediction model.

[0089] Based on the same inventive concept, Embodiment 1 of the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the above-mentioned method for establishing a reservoir fluid property prediction model.

[0090] The principles by which the above-mentioned devices, media, and related equipment in the embodiments of the present invention solve the problem are similar to those of the aforementioned methods. Therefore, their implementation can refer to the implementation of the aforementioned methods, and repeated details will not be repeated.

[0091] Example 2

[0092] Based on the same inventive concept, Embodiment 2 of this invention provides a method for evaluating the interpretation of biodegradable oil and gas reservoirs during drilling. This method evaluates the interpretation of biodegradable oil and gas reservoirs during drilling based on the reservoir fluid property prediction model established in Embodiment 1. In a specific embodiment, referring to... Figure 3As shown, the above-mentioned method for interpreting and evaluating biodegradable oil and gas reservoirs while drilling may include the following steps:

[0093] Step S31: Collect various analytical and testing parameters of the tested oil layers, the tested replacement layers, and the typical layers corresponding to the same main strata in the study area, and screen out biodegradable oil and gas layers from the main strata based on the various analytical and testing parameters.

[0094] In this step, when screening for biodegradable oil and gas reservoirs, biodegradable oil and gas reservoirs are selected from the main formations based on various analytical parameters, using gas component analysis, physical oil-bearing level determination methods, and / or pyrolysis chromatographic curve morphology analysis methods.

[0095] Step S32: For biodegradable oil and gas reservoirs, based on the principles of oil and gas geochemistry and the correlation between the fluid properties of biodegradable oil and gas reservoirs and various analytical parameters, key parameters are selected from the various analytical parameters.

[0096] Step S33: Construct an oil-water zoning map based on key parameters, and establish a reservoir fluid property prediction model based on the oil-water zoning map.

[0097] This process mainly consists of two steps, as follows:

[0098] Step (1): Based on key parameters, construct the crude oil property index relationship and the oil-bearing index relationship respectively, and then construct an oil-water zoning map based on the crude oil property index relationship and the oil-bearing index relationship. In this step (1), firstly, based on key parameters and structural matrix, construct the crude oil property index relationship and the oil-bearing index relationship respectively; then, construct an oil-water zoning map based on the crude oil property index relationship and the oil-bearing index relationship to distinguish oil layers, oil-water co-layers, and water layers.

[0099] Step (2): Based on the oil-water zoning map, perform multiple linear regression to establish a reservoir fluid property prediction model; where reservoir fluid properties include: oil layer, oil-water co-concentration, and water layer. In this step (2), firstly, the key parameters are determined based on Fisher's discriminant method to determine the Bayesian discriminant function coefficients for different reservoir fluid property classifications, so as to determine the reservoir fluid property classification results corresponding to the key parameters; then, based on the Bayesian discriminant function coefficients, perform multiple linear regression on the oil-water zoning map, and establish a reservoir fluid property prediction model with different fluid properties as dependent variables and key parameters as independent variables.

[0100] Step S34: Based on the key parameters of the fluids in the biodegradable oil and gas reservoir to be evaluated and the reservoir fluid property prediction model, perform drilling interpretation and evaluation to determine the fluid properties of the fluids in the biodegradable oil and gas reservoir to be evaluated.

[0101] In this embodiment, step S34 involves inputting the key parameters of the fluid in the biodegradable oil and gas reservoir to be evaluated into the reservoir fluid property prediction model, and using the reservoir fluid property prediction model corresponding to the maximum value of each reservoir fluid property prediction model as the fluid property of the fluid in the biodegradable oil and gas reservoir to be evaluated.

[0102] It should be noted that the specific implementation of steps S31 to S33 in the embodiments of the present invention can refer to steps S11 to S13 in the above embodiment 1, and will not be repeated here.

[0103] Referring to the model constructed in Example 1 above, drilling interpretation and evaluation were conducted on the biodegradable oil and gas reservoirs to be evaluated within the same study area, referring to... Figure 4 As shown, well BQ2-7X, based on logging data characteristics such as active gas logging, oil traces observed in cuttings logging, and oil immersion observed in wellbore coring, compared with the regional interpretation layer division criteria, Figure 4 In the well section 1840-1920m, three interpretation layers are defined as follows: 1 - Interpretation layer 1; 2 - Interpretation layer 2; 3 - Interpretation layer 3; 4 - Total hydrocarbon value of interpretation layer 1; 5 - Total hydrocarbon value of interpretation layer 2; 6 - Total hydrocarbon value of interpretation layer 3; 7 - Core sample from the well wall of interpretation layer 1; 8 - Core sample from the well wall of interpretation layer 2; 9 - Core sample from the well wall of interpretation layer 3; 10 - Cuttings profile of interpretation layer 1; 11 - Cuttings profile of interpretation layer 2; 12 - Cuttings profile of interpretation layer 3.

[0104] Substitute the key parameters corresponding to the three interpretation layers of well BQ2-7X into the calculation equation, and the result with the largest value is the reservoir fluid property discrimination result.

[0105] (1) Explanation of layer 1, total hydrocarbon value T g The percentages are 53.6%, C3 / C2 is 0.299, iC4 / nC4 is 0.625, iC5 is 0.090%, S1 is 19.54, TPI is 50.408, and PM is 0.246. Substituting these key parameters into the classification function equations for oil layer, oil-water co-layer, and water layer, respectively, we find that oil layer = 67632.975, oil-water co-layer = 45257.687, and water layer = 64878.823. Therefore, discriminant interpretation layer 1 is determined to be an oil layer.

[0106] (2) Explanation of layer 2, total hydrocarbon value T g The percentages are 20.26%, C3 / C2 is 0.935, iC4 / nC4 is 0.769, iC5 is 0.050%, S1 is 7.816, TPI is 0.212, and PM is 9.921. These key parameters are substituted into the classification function equations for oil layer, oil-water co-layer, and water layer, respectively. The values ​​are: oil layer = 155.166, oil-water co-layer = 170.668, and water layer = 159.426. Therefore, the discriminant interpretation layer 2 is determined to be an oil-water co-layer.

[0107] (3) Explanation of layer 3, total hydrocarbon value T g The percentages are 12.708%, C3 / C2 is 1.286, iC4 / nC4 is 0.519, iC5 is 0.322%, S1 is 4.238, TPI is 0.336, and PM is 6.390. These key parameters are substituted into the classification function equations for oil layer, oil-water co-layer, and water layer, respectively. The values ​​are: oil layer = 213.816, oil-water co-layer = 207.792, and water layer = 217.847. Therefore, the discriminant interpretation layer 3 is determined to be a water layer.

[0108] The above explanation layer is verified as follows:

[0109] (1) Interpreted as layer 1, well section 1841-1848m, interpreted as an oil layer; oil testing section 1842-1848m, jet pump, daily oil production 2.67m³. 3 Daily water production 0.58m 3 Crude oil density 0.9164 g / cm³ 3 The viscosity is 2205 mPa·s, and the daily oil and water production meet the standards for oil-bearing formations with a well depth of 1000-2000 m. The oil test results indicate that the formation is oil-bearing, which is consistent with the interpretation results.

[0110] (2) Interpretation layer 2, well section 1893-1897m, interpreted as oil-water co-layer; oil testing section 1894.6-1900m, jet pump, daily oil production 1.02m³. 3 Daily water production 1.22m 3 Crude oil density 0.9335 g / cm³ 3 The viscosity was 3428 mPa·s, and the oil test results showed that the oil and water were in the same layer, which was consistent with the interpretation results.

[0111] (3) Interpreted as a water-bearing layer, with a well section of 1905-1913m; tested well section 1905-1916.6m, jet pump, daily water production 1.54m³. 3 Cumulative water production 35m 3 The oil test results showed a water layer, which is consistent with the interpretation results.

[0112] The evaluation method provided in this embodiment of the invention greatly improves the timeliness and accuracy of identifying the fluid properties of special oil and gas reservoirs during drilling. It solves the problems of biodegradable oil reservoirs exhibiting high methane content, where component characteristics no longer possess evaluation sensitivity. Furthermore, it addresses the challenging issues of drilling evaluation, such as the high physical levels caused by the heavy oil content, which negatively impact parameters like Pg in evaluation logging analysis. This method avoids the drawbacks of subjective human evaluation, time-consuming interpretation and evaluation cycles, and lack of quantitative judgment standards. The interpretation and evaluation compliance rate is significantly improved, providing a basis for timely oil and gas reservoir discovery, reservoir evaluation, and subsequent oil testing and selection, thus providing timely and reliable technical support for exploration and development decisions.

[0113] Based on the same inventive concept, this invention also provides a drilling interpretation and evaluation device for biodegradable oil and gas reservoirs, referring to... Figure 5 As shown, the device may include: a collection module 21, a biodegradable oil and gas reservoir screening module 22, a key parameter screening module 23, a prediction model building module 24, and an evaluation module 51. Its working principle is as follows:

[0114] The collection module 21 is used to collect various analytical and testing parameter data of the tested oil layers, the tested layers, and the typical layers corresponding to the same main strata in the study area, in blocks of the study area;

[0115] The biodegradable oil and gas reservoir screening module 22 is used to screen out biodegradable oil and gas reservoirs from the main formation based on the analytical and testing parameters.

[0116] The key parameter screening module 23 is used to screen key parameters from the analytical parameters data based on the principles of oil and gas geochemistry, the fluid properties of the biodegradable oil and gas layer, and the correlation between the analytical parameters data.

[0117] The prediction model building module 24 is used to construct an oil-water partition map based on the key parameters, and to build a reservoir fluid property prediction model based on the oil-water partition map.

[0118] The evaluation module 51 is used to perform drilling interpretation evaluation based on the key parameters of the fluid in the biodegradable oil and gas reservoir to be evaluated and the reservoir fluid property prediction model, so as to determine the fluid properties of the fluid in the biodegradable oil and gas reservoir to be evaluated.

[0119] In an optional embodiment, the prediction model building module 24 described above is specifically used for:

[0120] Based on the key parameters, crude oil property index formulas and oil content index formulas are constructed respectively, and the oil-water zoning map is constructed based on the crude oil property index formulas and the oil content index formulas.

[0121] Multiple linear regression was performed based on the oil-water zoning map to establish a reservoir fluid property prediction model; wherein the reservoir fluid properties include: oil layer, oil-water co-layer, and water layer.

[0122] In another optional embodiment, the prediction model building module 24 is further configured to: construct crude oil property index relationship and oil content index relationship based on the key parameters and structure matrix, respectively;

[0123] The oil-water zoning map is constructed based on the crude oil property index relationship and the oil-bearing index relationship to distinguish oil layers, oil-water co-layers, and water layers.

[0124] In another optional embodiment, the prediction model building module 24 is further configured to:

[0125] The key parameters are used to determine the Bayesian discriminant function coefficients for different reservoir fluid property classifications based on Fisher's discriminant method, so as to determine the reservoir fluid property classification results corresponding to the key parameters;

[0126] Based on the Bayesian discriminant function coefficients, a multiple linear regression was performed on the oil-water zoning map to establish a reservoir fluid property prediction model with different fluid properties as dependent variables and the key parameters as independent variables.

[0127] In another optional embodiment, the above-mentioned biodegradable oil and gas reservoir screening module 22 is specifically used to: screen out biodegradable oil and gas reservoirs from the main formation based on the analytical and testing parameter data, using gas component analysis methods, physical oil content determination methods, and / or pyrolysis chromatographic curve morphology analysis methods.

[0128] In another optional embodiment, the evaluation module 51 is specifically used to: input the key parameters of the fluid in the biodegradable oil and gas reservoir to be evaluated into the reservoir fluid property prediction model, and use the reservoir fluid property prediction model corresponding to the maximum value of each reservoir fluid property prediction model as the fluid property of the fluid in the biodegradable oil and gas reservoir to be evaluated.

[0129] Based on the same inventive concept, this embodiment of the invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-mentioned method for interpreting and evaluating biodegradable oil and gas reservoirs while drilling.

[0130] Based on the same inventive concept, this embodiment of the invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the above-mentioned method for interpreting and evaluating biodegradable oil and gas reservoirs while drilling.

[0131] The principles by which the above-mentioned devices, media, and related equipment in the embodiments of the present invention solve the problem are similar to those of the aforementioned methods. Therefore, their implementation can refer to the implementation of the aforementioned methods, and repeated details will not be repeated.

[0132] 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 and optical storage) containing computer-usable program code.

[0133] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0134] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0135] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0136] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for interpreting and evaluating biodegradable oil and gas reservoirs while drilling, characterized in that, include: The study area collects various analytical and testing parameters of the tested oil layers, the tested layers, and the typical layers corresponding to the same main strata in the study area, and screens out biodegradable oil and gas layers from the main strata based on the analytical and testing parameters. For the biodegradable oil and gas reservoir, based on the principles of oil and gas geochemistry, and the correlation between the fluid properties of the biodegradable oil and gas reservoir and the various analytical parameters, key parameters are selected from the various analytical parameters. Based on the key parameters, an oil-water partition map is constructed, and based on the oil-water partition map, a reservoir fluid property prediction model is established. Based on the key parameters of the fluids in the biodegradable oil and gas reservoir to be evaluated and the reservoir fluid property prediction model, the fluid properties of the fluids in the biodegradable oil and gas reservoir to be evaluated are interpreted and evaluated while drilling to determine the fluid properties of the fluids in the biodegradable oil and gas reservoir to be evaluated.

2. The method according to claim 1, characterized in that, The construction of an oil-water zoning map based on the key parameters, and the establishment of a reservoir fluid property prediction model based on the oil-water zoning map, include: Based on the key parameters, crude oil property index formulas and oil content index formulas are constructed respectively, and the oil-water zoning map is constructed based on the crude oil property index formulas and the oil content index formulas. Multiple linear regression was performed based on the oil-water zoning map to establish a reservoir fluid property prediction model; wherein the reservoir fluid properties include: oil layer, oil-water co-layer, and water layer.

3. The method according to claim 2, characterized in that, The process of constructing crude oil property index relationships and oil content index relationships based on the key parameters, and constructing the oil-water zoning map based on the crude oil property index relationships and the oil content index relationships, includes: Based on the key parameters and structural matrix, crude oil property index formulas and oil content index formulas are constructed respectively. The oil-water zoning map is constructed based on the crude oil property index relationship and the oil-bearing index relationship to distinguish oil layers, oil-water co-layers, and water layers.

4. The method according to claim 2, characterized in that, The step of establishing a reservoir fluid property prediction model based on the oil-water zoning map using multiple linear regression includes: The key parameters are used to determine the Bayesian discriminant function coefficients for different reservoir fluid property classifications based on Fisher's discriminant method, so as to determine the reservoir fluid property classification results corresponding to the key parameters; Based on the Bayesian discriminant function coefficients, a multiple linear regression was performed on the oil-water zoning map to establish a reservoir fluid property prediction model with different fluid properties as dependent variables and the key parameters as independent variables.

5. The method according to claim 1, characterized in that, The process of interpreting and evaluating the fluid properties of the reservoir fluids based on key parameters of the fluids in the biodegradable oil and gas reservoir to be evaluated and the reservoir fluid property prediction model during drilling, includes: The key parameters of the fluid in the biodegradable oil and gas reservoir to be evaluated are input into the reservoir fluid property prediction model, and the reservoir fluid property prediction model corresponding to the maximum value of each reservoir fluid property prediction model is taken as the fluid property of the fluid in the biodegradable oil and gas reservoir to be evaluated.

6. The method according to any one of claims 1 to 5, characterized in that, The process of screening biodegradable oil and gas reservoirs from the main formations based on the analytical and testing parameters includes: Based on the analytical parameters described above, biodegradable oil and gas reservoirs are screened from the main formations using gas component analysis, physical oil content determination, and / or pyrolysis chromatographic curve morphology analysis.

7. A method for establishing a reservoir fluid property prediction model, characterized in that, include: The study area collects various analytical and testing parameters of the tested oil layers, the tested layers, and the typical layers corresponding to the same main strata in the study area, and screens out biodegradable oil and gas layers from the main strata based on the analytical and testing parameters. For the biodegradable oil and gas reservoir, based on the principles of oil and gas geochemistry, and the correlation between the fluid properties of the biodegradable oil and gas reservoir and the various analytical parameters, key parameters are selected from the various analytical parameters. Based on the key parameters, an oil-water zoning map is constructed, and a reservoir fluid property prediction model is established based on the oil-water zoning map.

8. A drilling interpretation and evaluation device for biodegradable oil and gas reservoirs, characterized in that, include: The collection module is used to collect various analytical and testing parameter data of the tested oil layers, the tested layers, and the typical layers corresponding to the same main strata in the study area, in blocks of the study area; A biodegradable oil and gas reservoir screening module is used to screen out biodegradable oil and gas reservoirs from the main formations based on the analytical and testing parameters mentioned above. The key parameter screening module is used to screen key parameters from the analytical parameters data based on the principles of oil and gas geochemistry, the fluid properties of the biodegradable oil and gas layer, and the correlation between the analytical parameters data. The prediction model building module is used to construct an oil-water partition map based on the key parameters, and to build a reservoir fluid property prediction model based on the oil-water partition map. The evaluation module is used to perform drilling interpretation and evaluation based on the key parameters of the fluid in the biodegradable oil and gas reservoir to be evaluated and the reservoir fluid property prediction model, so as to determine the fluid properties of the fluid in the biodegradable oil and gas reservoir to be evaluated.

9. An apparatus for establishing a reservoir fluid property prediction model, characterized in that, include: The collection module is used to collect various analytical and testing parameter data of the tested oil layers, the tested layers, and the typical layers corresponding to the same main strata in the study area, in blocks of the study area; A biodegradable oil and gas reservoir screening module is used to screen out biodegradable oil and gas reservoirs from the main formations based on the analytical and testing parameters mentioned above. The key parameter screening module is used to screen key parameters from the analytical parameters data based on the principles of oil and gas geochemistry, the fluid properties of the biodegradable oil and gas layer, and the correlation between the analytical parameters data. The prediction model building module is used to construct an oil-water partition map based on the key parameters, and to build a reservoir fluid property prediction model based on the oil-water partition map.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the drilling interpretation and evaluation method for biodegradable oil and gas reservoirs as described in any one of claims 1 to 6, or the method for establishing a reservoir fluid property prediction model as described in claim 7.

11. 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 program, it implements the drilling interpretation and evaluation method for biodegradable oil and gas reservoirs as described in any one of claims 1 to 6, or the method for establishing a reservoir fluid property prediction model as described in claim 7.

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