CN112285774B - Method for rapidly evaluating fault sealing capability of walk and slide based on multiple geological parameters - Google Patents
Method for rapidly evaluating fault sealing capability of walk and slide based on multiple geological parameters Download PDFInfo
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Abstract
The invention discloses a method for rapidly evaluating the sealing capability of a sliding fault based on multiple geological parameters, which comprises the following steps: explaining three-dimensional characteristics of the sliding derivative fracture zones, and reading various geological parameters of each sliding derivative fracture zone; establishing a sliding derivative fracture space model, simulating sliding derivative fracture closure by using 3DMove, and optimizing four types of geological parameters; counting four geological parameters of the found sliding derivative fracture control oil field, and establishing a closed quantitative characterization database; analyzing four geological parameters by Surfer big data processing, and initially establishing a sliding derivative fracture side seal forming hiding chart of different layers; utilizing First Optimization to perform multi-element fitting on four geological parameters, establishing a sliding derivative fracture closure quantitative evaluation mathematical model, and solving the lateral closure capacity value of each sliding derivative fracture of different layers; and the potential oil-gas-containing area of each block trap is drawn by using double foxes, so that the exploration potential of each block trap of the sliding fracture zone is predicted before drilling, and the target sorting evaluation is preferably facilitated, and the well position deployment before drilling is guided.
Description
Technical Field
The invention belongs to the field of fracture control in the petroleum exploration industry, and particularly relates to a method for rapidly evaluating the sealing capacity of a sliding fault based on multiple geological parameters.
Background
The development evolution of the new generation land phase subsidence oil-gas containing basin in the eastern part of China is integrally controlled by the sliding shearing action (Shajiafu, 1992; ren Jianye, 2000; li Sanzhong, 2010; etc.) generated by the sliding breaking belt movement from NE-SW to the cottage and from NW-SE to Zhang Peng, so that the sliding breaking and the derivative structure thereof in the basin are very developed and complicated, and the complex storage control action of the sliding breaking is always a research hot spot and difficult point.
At present, 65% of oil and gas exploration of the Bohai sea oil field is found to be distributed near a roller sliding fracture zone and a Zhang Peng roller sliding fracture zone, and the roller sliding fracture zone are main force construction zones for exploration all the time. But exploration practices in 40 years show that the difference of reserves and abundance among the broken block traps controlled by different sliding derivative fractures is larger, and the oil gas enrichment degree has the characteristic of differential accumulation. In recent years, the Bohai sea oil field is researched and analyzed to solve the problem, and the fact that the sliding derivative fracture sealing condition is the oil-gas difference reservoir main control factor is clarified, so that a new technical method which is suitable for sliding derivative fracture sealing evaluation and can be applied to the prior exploration evaluation is required to be established, and the method has important significance in searching a favorable exploration target in an exploration stage and improving water injection development efficiency in a development stage.
The sliding derivative fracture is defined as that when a rock layer is subjected to shearing ground stress to a certain extent, the continuous integrity of the rock layer is broken, and obvious horizontal dislocation displacement occurs along a PDZ main fracture surface, in the process, two-disc strata of the main fracture surface develop secondary fracture with smaller scale due to stress release, and the secondary fracture corresponds to T or R fracture in a sliding strain elliptic model and is called sliding derivative fracture. The evaluation method of the fracture closure at the present stage mainly comprises lithology butt joint, mudstone smearing, pressure closure, occurrence configuration and the like, but the methods need accurate data of lithology, thickness, breaking distance and the like of two fracture discs, are mainly suitable for normal faults with larger breaking distance, have smaller sliding derivative breaking distance, particularly have basically zero breaking distance of high points of broken block trap, and have great limitation in application of the traditional method. In addition, the traditional evaluation method is mainly based on the fact that the real drilling well is applied to the analysis process after drilling, and is difficult to apply before exploration evaluation. At present, no effective evaluation method is available for evaluating the closure of the sliding derivative fracture, but the traditional technical method cannot meet the increasingly refined exploration and development requirements, so the quantitative characterization of the closure of the sliding derivative fracture is also an important direction for the development of later exploration and development work.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a method for rapidly evaluating the fault sealing capability of walk and slide based on multiple geological parameters. Four geological parameters capable of reflecting the closure of the sliding derivative fracture are selected, the sliding derivative fracture closure of the east ying group and the sand river street group is established based on big data statistical analysis to form a hiding chart, a sliding derivative fracture closure mathematical model is finally established, and the closed oil gas capacity of the sliding derivative fracture is obtained. The method can be used for efficiently, accurately and quantitatively describing the sealing capability of the sliding derivative fracture before exploration and evaluation, so that research works such as sliding derivative fracture differential control and accumulation effect and the like are better served, trap with larger potential is preferred, well drilling deployment is guided, exploration risks are avoided, and exploration success rate is improved.
The aim of the invention is achieved by the following technical scheme.
The invention discloses a method for rapidly evaluating the sealing capability of a sliding fault based on multiple geological parameters, which comprises the following steps:
(1) Preparing geological parameters: based on three-dimensional seismic data, coherent data bodies, curvature data bodies and other data, the three-dimensional characteristics of the sliding derivative fracture zone are precisely explained, and various geological parameters of each sliding derivative fracture are read;
(2) The geological parameters are preferably: establishing a sliding derivative fracture space model based on the geological parameters of the sliding derivative fracture in the step (1), then simulating the sliding derivative fracture closure by using a 3DMove numerical value based on the model, and determining the correlation between the fracture closure and various geological parameters, wherein the four types of geological parameters are optimized to represent the sliding derivative fracture closure capability;
(3) Geological parameter pre-acquisition: based on four types of geological parameters which can reflect the sealing capability of the sliding derivative fracture and are selected in the step (2), statistics is carried out on the four types of geological parameters of the found sliding derivative fracture control oil field, and a sealing quantitative characterization database is established;
(4) Geological parameter calculation: based on the sealing quantitative characterization database established in the step (3), four geological parameters for characterizing the sealing capacity of the sliding derivative fracture are processed and analyzed by utilizing Surfer software big data, and the sliding derivative fracture side seal forming hiding chart of different layers is initially established;
(5) Establishing a mathematical model: based on the hidden drawing board of the sliding derivative fracture side seal in the step (4), first Optimization is applied to carry out multi-element fitting on four geological parameters, a sliding derivative fracture closure quantitative evaluation mathematical model is established, an actual exploration target area is selected, and the lateral sealing capacity value of each sliding derivative fracture of different layers is calculated;
(6) Evaluation: based on the lateral sealing capacity value of each sliding derivative fracture obtained in the step (5), the potential oil-gas-containing area of each fracture block trap is drawn by using double fox software, the exploration potential of each fracture block trap of the sliding fracture zone is predicted before drilling, the target sorting evaluation is preferably facilitated, and the well position deployment before drilling is guided.
The specific implementation process of the geological parameter preparation in the step (1) comprises the following steps: according to the dislocation relation of the same phase axis of the three-dimensional seismic data in the research mining area, carrying out fine explanation on the sliding derivative fracture zone, adopting a coherent algorithm and a curvature algorithm to make a coherent data body and a curvature data body, mutually verifying coherent slices and curvature slices and fracture explanation results, realizing equal to closure on regional fracture explanation space, realizing and drawing a fracture plane fracture outline map of each layer, definitely controlling the developed fracture block trap of the sliding derivative fracture, combing out the sliding derivative fracture of the research work area according to the fracture characteristics, and reading various geological parameters of each sliding derivative fracture.
The preferred specific implementation process of the geological parameters in the step (2) comprises the following steps: based on geological parameters of the sliding derivative fracture in the step (1), a sliding derivative fracture space model is built, then the fracture space model is imported into a stress analysis module in 3DMove software, sliding trend and expansion trend two parameter numerical simulation sliding derivative fracture sealing performance is selected, and further through literature investigation, construction physical simulation experiments, seismic interpretation schemes and actual oilfield drilling data, four geological parameters are selected from the self structural characteristics of the sliding derivative fracture, so that the sliding derivative fracture sealing performance can be quantitatively represented before drilling, wherein the four geological parameters are respectively the length L, the horizon G, the included angle theta with a main fracture and the hydrocarbon column height H.
The specific implementation process of the geological parameter pre-acquisition in the step (3) comprises the following steps: based on the numerical simulation result in the step (2), four geological parameters capable of reflecting the sliding derivative fracture sealing capability are selected, through analysis and research on all drilled oil fields of the Bohai oil fields, 78 oil fields and oil-gas containing structures are controlled by the sliding derivative fracture, the east nutrient group and the sand river street group are two most main sets of oil-gas containing layers, finally four geological parameters of the sliding derivative fracture development in the two sets of stratum of the oil fields and the oil-gas containing structures are counted, 1140 data points are obtained in total, and a detailed geological parameter database is built.
The specific implementation process of the geological parameter calculation in the step (4) comprises the following steps: based on the closed quantitative characterization database in the step (3), all data in the database are arranged into a standard format, the data are divided into two types of data of an east camp group and a sand river street group, then the data are uniformly imported into a contour line mapping module in Surfer software for data processing, the correlation between the height H of a hydrocarbon column and the parameters of L, G and theta is primarily analyzed and processed, finally, a fracture side seal forming graph plate of the east camp group and the sand river street group is respectively established, the conversion points of which theta=48 degrees and L=3.8 km are the quality control factors of a sliding derivative fracture side seal are defined, and the east camp group and the sand river street group forming graph plate are divided into four quadrants by taking the conversion points as boundaries.
The specific implementation process of establishing the mathematical model in the step (5) is as follows: based on a side seal formation drawing board, the transformation points of main control factors of the sliding derivative fracture of the east camp group and the sand river street group are defined, four geological parameters of the east camp group and the sand river street group are further divided into two groups of data of theta <48 degrees and theta >48 degrees by taking the theta=48 degrees as a standard, polynomial fitting is carried out on the two groups of data by using First Optimization, mathematical formulas of the east camp group and the sand river street group of 'H-theta-L-G' are established, and the lateral sealing capacity of the sliding derivative fracture of different layers is quantitatively represented.
The specific process for realizing the exploration potential of each block trap of the pre-drilling prediction sliding fracture zone in the step (6) is as follows: firstly, carrying out non-drilling block trapping for controlling development of sliding derivative fracture based on a double-fox structural diagram, counting three geological parameters theta and L, G of sliding derivative fracture of each layer, then calculating the maximum hydrocarbon column height H of the trapping by using a mathematical model in the step (5), further drawing the potential oil and gas area of each block trapping by using double-fox software, calculating the resource quantity, realizing the exploration potential of predicting the trapping of each block of the sliding fracture zone before drilling, and preferably facilitating the target sequencing evaluation and guiding the well position deployment before drilling.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
(1) The method is suitable for evaluating the closure of the small-micro break sliding derivative fracture, and compared with the traditional evaluation method mainly suitable for the closure of the fracture with larger break distance, the method selects a new method.
(2) According to the invention, by establishing a mathematical model, the walk-slip fault sealing capability can be efficiently, accurately and quantitatively evaluated before drilling, the favorable exploration targets are preferably ordered, the pre-drilling well position deployment scheme is guided, the exploration risk is effectively avoided, and the exploration success rate is ensured.
(3) Compared with the traditional evaluation method of various parameters of fracture closure, the method comprises the following steps: SGR, lithology butt joint thickness value etc. this kind of parameter can not directly couple with oil gas, and this patent is based on oil field and the big data statistics analysis of oil-containing gas structure, and four kinds of geological parameter of preference establish mathematical model, and innovation application hydrocarbon column height H directly characterizes fracture closure, directly couple with the internal oil gas abundance of trap.
(4) The traditional fracture closure evaluation method is mainly based on well data to carry out analysis after drilling, and the invention innovatively realizes the capability of evaluating fracture closure before exploration drilling from the self-construction characteristics of the sliding derivative fracture, thereby effectively avoiding exploration risks. The technology of the invention provides a brand-new evaluation method for the closure of the sliding fault, which can be popularized and applied to the research work of the sliding fracture control and accumulation of the sea area and the land oil field.
Drawings
FIG. 1 is a technical flow chart of the present invention;
FIG. 2 is a walk-slide derived fracture seismic section (ILN 950);
FIG. 3 is a to diagram of a walk-induced fracture and trap configuration (T) 3 M-oil )；
FIG. 4 is a walk-slip derivative fracture geologic parameter;
fig. 5 is a walk-off derivative fracture lateral closure maximum hydrocarbon bearing area.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
The invention relates to a method for rapidly evaluating the sealing capability of a sliding fault based on multiple geological parameters, which is shown in figure 1, and comprises the following specific processes:
(1) Geological parameter preparation
Based on the three-dimensional seismic data, the coherent data body, the curvature data body and other data, the three-dimensional characteristics of the sliding derivative fracture zone are precisely explained, and various geological parameters of each sliding derivative fracture are read. The specific implementation process comprises the following steps: according to the dislocation relation of the same phase axis of the three-dimensional seismic data in the research mining area, carrying out fine explanation on the sliding derivative fracture zone, adopting a coherent algorithm and a curvature algorithm to make a coherent data body and a curvature data body, mutually verifying coherent slices and curvature slices and fracture explanation results, realizing equal to closure on regional fracture explanation space, realizing and drawing a fracture plane fracture outline map of each layer, definitely controlling the developed fracture block trap of the sliding derivative fracture, combing out the sliding derivative fracture of the research work area according to the fracture characteristics, and reading various geological parameters of each sliding derivative fracture.
(2) Geological parameter optimization
And (3) establishing a sliding derivative fracture space model based on the geological parameters of the sliding derivative fracture in the step (1), then simulating the sliding derivative fracture closure by using a 3DMove numerical value based on the model, and determining the correlation between the fracture closure and various geological parameters, wherein the four types of geological parameters are preferred to represent the sliding derivative fracture closure capability.
The specific implementation process comprises the following steps: establishing a sliding derivative fracture space model based on the geological parameters of the sliding derivative fracture in the step (1), wherein the sliding derivative fracture space model is specifically divided into three fracture models of layers with different depths, different lengths with the same angle, different angles with the same length and the like; and then, importing the fracture space model into a stress analysis module in 3DMove software, and selecting two parameter values of a Slip test and an expansion test (Dilation Tendency) to simulate the Slip derivative fracture closure. Wherein Slip tendincy indicates the ratio of shear stress to normal stress acting on a plane, the higher the value, the higher the likelihood of plane Slip, the stronger the closure. Dilation Tendency (tendency to expand) is the ratio of the positive stress to the difference in principal stress, the larger the value, the greater the likelihood of plane opening, the worse the closure.
Further through literature investigation, physical simulation experiments of construction, seismic interpretation schemes and actual oilfield drilling data, four geological parameters are selected from the self-construction characteristics of the sliding derivative fracture, and the sliding derivative fracture sealing capability can be quantitatively represented before drilling, namely the length L, the horizon G, the included angle theta with the main fracture and the hydrocarbon column height H. Horizon G refers to geologic horizons where fractures develop at different depths; the length L refers to the spreading length of the derivative fracture on different geological horizon planes; the included angle θ refers to the angle (acute angle) between the derivative fracture and the main walk slip fracture; the hydrocarbon column height H refers to the hydrocarbon column height of a single geologic formation within a fault block trap of derivative fracture control. L, G, θ represent the variability of the structural features of the skid-derived fracture, and H is the most direct and effective geologic parameter for evaluating the lateral closure of the skid-derived fracture. In the research of the invention, the statistical analysis is also carried out on the high-point breaking distance of the broken block trap for controlling the derivative fracture (whether the high-point fault trap can form a closure to finally determine the effectiveness of the trap), the high-point trap, the derivative breaking distance of the sliding is distributed between 10 and 20m, no obvious difference exists among the derivative fractures of the sliding, and the high-point trap is not a different geological parameter of the fracture.
(3) Geological parameter pre-acquisition
And (3) based on four types of geological parameters which are selected in the step (2) and can reflect the sealing capability of the sliding derivative fracture, counting the four types of geological parameters of the found sliding derivative fracture control oil field, and establishing a sealing quantitative characterization database.
The specific implementation process comprises the following steps: based on the numerical simulation result in the step (2), four geological parameters capable of reflecting the sliding derivative fracture sealing capability are selected, through analysis and research on all drilled oil fields of the Bohai oil fields, 78 oil fields and oil-gas containing structures are controlled by the sliding derivative fracture, the eastern camping group and the sand river street group are found to be the two most main sets of oil-gas containing layer systems, finally four geological parameters of the sliding derivative fracture development in the two sets of strata of the oil fields and the oil-gas containing structures are counted, 1140 data points are obtained in total, and a detailed geological parameter database is built.
(4) Geological parameter calculation
Based on the sealing quantitative characterization database established in the step (3), four geological parameters for characterizing the sealing capacity of the sliding derivative fracture are processed and analyzed by utilizing Surfer software big data, and the sliding derivative fracture side seal forming hiding chart of different layers is initially established.
The specific implementation process comprises the following steps: based on the closed quantitative characterization database in the step (3), all data in the database are arranged into a standard format, the data are divided into two types of data of an east camp group and a sand river street group, then the data are uniformly imported into a contour line mapping module in Surfer software for data processing, the correlation between the height H of a hydrocarbon column and the parameters of L, G and theta is primarily analyzed and processed, finally, a fracture side seal forming graph plate of the east camp group and the sand river street group is respectively established, the conversion points of which theta=48 degrees and L=3.8 km are the quality control factors of a sliding derivative fracture side seal are defined, and the east camp group and the sand river street group forming graph plate are divided into four quadrants by taking the conversion points as boundaries.
East camping group: the high-abundance fault blocks of oil gas found by drilling are mainly distributed in the third quadrant (the derivative fault angle theta <48 degrees for controlling the closure of the fault blocks, the length L <3.8 km), and a small amount of fault blocks are distributed in the first quadrant (the derivative fault angle theta >48 degrees for controlling the closure of the fault blocks, the length L >3.8 km). Sand river street group: the high abundance broken blocks found by drilling are mainly distributed in the first quadrant (the derivative broken angle theta of the closed broken blocks is controlled to be more than 48 degrees, the length L is controlled to be more than 3.8 km), and a small amount of broken blocks are distributed in the first quadrant (the derivative broken angle theta of the closed broken blocks is controlled to be more than 48 degrees, and the length L is controlled to be more than 3.8 km). When the sliding derivative fracture theta is less than 48 degrees, L is less than 3.8km: the main control factor of H is theta, and H and theta are inversely related, namely, the smaller the fracture included angle is, the stronger the lateral plugging capability is. When the sliding derivative fracture theta is more than 48 DEG, L is more than 3.8km: the main control factor of H is L, and H and L are positively correlated, namely the larger the fracture length is, the stronger the lateral plugging capability is, and effective plugging can be formed only when the fracture length is larger than 3.8 km.
(5) Establishing a mathematical model
Based on the hidden drawing board of the sliding derivative fracture side seal in the step (4), first Optimization is used for carrying out multi-element fitting on four geological parameters, a sliding derivative fracture closure quantitative evaluation mathematical model is established, an actual exploration target area is selected, and the lateral sealing capacity value of each sliding derivative fracture of different layers is obtained.
The specific implementation process comprises the following steps: based on a side seal formation drawing board, the transformation points of main control factors of the sliding derivative fracture of the east camp group and the sand river street group are defined, four geological parameters of the east camp group and the sand river street group are further divided into two groups of data of theta <48 degrees and theta >48 degrees by taking the theta=48 degrees as a standard, polynomial fitting is carried out on the two groups of data by using First Optimization, mathematical formulas of the east camp group and the sand river street group of 'H-theta-L-G' are established, and the lateral sealing capacity of the sliding derivative fracture of different layers is quantitatively represented.
East camping group: θ <48 °, where h= -6.70×θ -12.58×l+359.43, θ >48 °, where h= -5.02×θ+13.63×l+341.89; sand river street group: θ <48 °, the formula is h= -16.08×θ -28.85 ×l+716.52, θ >48 °, the formula is h= -3.48×θ+20.05×l+305.63. And then selecting an actual exploration target area, and solving the sealing capacity value of each sliding derivative fracture by applying the evaluation formula.
(6) Evaluation
Based on the lateral sealing capacity value of each sliding derivative fracture obtained in the step (5), the potential oil-gas-containing area of each fracture block trap is drawn by using double fox software, the exploration potential of each fracture block trap of the sliding fracture zone is predicted before drilling, the target sorting evaluation is preferably facilitated, and the well position deployment before drilling is guided.
The method comprises the following specific processes of predicting exploration potential of each block trap of a sliding fracture zone before drilling: firstly, carrying out non-drilling block trapping for controlling development of sliding derivative fracture based on a double-fox structural diagram, counting three geological parameters theta and L, G of sliding derivative fracture of each layer, then calculating the maximum hydrocarbon column height H of the trapping by using a mathematical model in the step (5), further drawing the potential oil and gas area of each block trapping by using double-fox software, calculating the resource quantity, realizing the exploration potential of predicting the trapping of each block of the sliding fracture zone before drilling, and preferably facilitating the target sequencing evaluation and guiding the well position deployment before drilling.
Specific examples:
the quantitative characterization method of the mechanical properties of the fracture zone is specific to a 6-12 exploration area in the Bohai sea area, and the specific implementation method comprises the following steps:
(1) The three-dimensional seismic data area of the exploration area of 6-12 is 560km2, the fracture and stratum interface are precisely interpreted according to the dislocation relation of the same phase axis of the three-dimensional seismic data, a coherent data body and a curvature data body are made by using a coherent algorithm and a curvature algorithm, the coherent data body and the fracture interpretation result are mutually verified, regional fracture and the closure of the stratum interface space are finally realized, six layers of equal to-map (T2, T3U, T3M, T, T5 and T8) are implemented and drawn, the development characteristics of the sliding derivative fracture and the controlled block trap of each layer of the sliding derivative fracture are defined, and the sliding fracture and the controlled block trap of each layer of the sliding derivative fracture are respectively named. FIG. 2 shows a trace-derived fracture feature (ILN 950) for a seismic line, and FIG. 3 shows a to graph (T3M-oil) for a trace-derived fracture and trap configuration;
(2) Based on the interpretation result of the fracture in the step 1, a fracture space model is established, and then the fracture model is imported into 3DMove software for stress analysis, so that four geological parameters are defined, and the quantitative characterization of the sliding derivative fracture sealing capacity before drilling can be realized, wherein the fracture space model is respectively the length (L), the horizon (G), the included angle (theta) between the fracture and the main fracture, and the hydrocarbon column height (H);
(3) Based on a T3 fracture plane system diagram, the included angle theta, the length L and the horizon G of each sliding derivative fracture are subjected to data, and FIG. 4 is a sliding derivative fracture geological parameter data table;
(4) Based on the geological data in the step (3), projecting the geological data to an established fracture side seal into a hidden drawing board, and primarily judging the sealing capacity quadrant where each control ring of the research area is fractured;
(5) Based on geological parameters and closed quadrants of each control ring fracture in the step (3) and the step (4), selecting a proper corresponding mathematical model to calculate the height of each hydrocarbon column laterally closed by the sliding derivative fracture;
(6) Based on the height of the laterally closed hydrocarbon column of the sliding derivative fracture obtained in the step (5), the oil-gas area of the block trap of each fracture control is drawn by using double fox software, see fig. 5, so as to guide the well drilling deployment, and the target ranking evaluation is preferably facilitated.
At present, the latest exploration result is basically consistent with the patent method proposed at the present time, and the accuracy, reliability and popularization of the patent method are proved
Although the function and operation of the present invention has been described above with reference to the accompanying drawings, the present invention is not limited to the above-described specific functions and operations, but the above-described specific embodiments are merely illustrative, not restrictive, and many forms can be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the appended claims, which are included in the protection of the present invention.
Claims (4)
1. The method for rapidly evaluating the fault sealing capability of the walk and slide based on the multiple geological parameters is characterized by comprising the following steps of:
(1) Preparing geological parameters: based on three-dimensional seismic data, coherent data volume and curvature data volume data, finely explaining three-dimensional characteristics of the sliding derivative fracture zone, and reading various geological parameters of each sliding derivative fracture;
(2) The geological parameters are preferably: establishing a sliding derivative fracture space model based on the geological parameters of the sliding derivative fracture in the step (1), then simulating the sliding derivative fracture closure by using a 3DMove numerical value based on the model, and determining the correlation between the fracture closure and various geological parameters, wherein the four types of geological parameters are optimized to represent the sliding derivative fracture closure capability;
the specific implementation process comprises the following steps: establishing a sliding derivative fracture space model based on geological parameters of the sliding derivative fracture in the step (1), then guiding the fracture space model into a stress analysis module in 3DMove software, selecting two parameter numerical values of sliding trend and expansion trend to simulate the sliding derivative fracture closure, further carrying out literature investigation, construction physical simulation experiments, seismic interpretation schemes and actual oilfield drilling data, and starting from the self structural characteristics of the sliding derivative fracture, selecting four geological parameters to realize quantitative characterization of the sliding derivative fracture closure capability before drilling, wherein the four geological parameters are respectively length L, horizon G, included angle theta with a main fracture and hydrocarbon column height H;
(3) Geological parameter pre-acquisition: based on four types of geological parameters which can reflect the sealing capability of the sliding derivative fracture and are selected in the step (2), statistics is carried out on the four types of geological parameters of the found sliding derivative fracture control oil field, and a sealing quantitative characterization database is established;
(4) Geological parameter calculation: based on the sealing quantitative characterization database established in the step (3), four geological parameters for characterizing the sealing capacity of the sliding derivative fracture are processed and analyzed by utilizing Surfer software big data, and the sliding derivative fracture side seal forming hiding chart of different layers is initially established;
the specific implementation process comprises the following steps: based on the closed quantitative characterization database in the step (3), all data in the database are arranged into a standard format, the data are divided into two types of data of an east camp group and a sand river street group, then the data are uniformly imported into a contour line mapping module in Surfer software for data processing, the correlation between the height H of a hydrocarbon column and the parameters of L, G and theta is primarily analyzed and processed, finally, a fracture side seal forming drawing board of the east camp group and the sand river street group is respectively established, the conversion points of which theta=48 degrees and L=3.8 km are the quality control factors of a sliding derivative fracture side seal are defined, and the east camp group and the sand river street group forming drawing board are divided into four quadrants by taking the conversion points as boundaries;
(5) Establishing a mathematical model: based on the hidden drawing board of the sliding derivative fracture side seal in the step (4), first Optimization is applied to carry out multi-element fitting on four geological parameters, a sliding derivative fracture closure quantitative evaluation mathematical model is established, an actual exploration target area is selected, and the lateral sealing capacity value of each sliding derivative fracture of different layers is calculated;
the specific implementation process comprises the following steps: based on a side seal forming drawing board, the transformation points of main control factors of the sliding derivative fracture of the east camp group and the sand river street group are defined, four geological parameters of the east camp group and the sand river street group are further divided into two groups of data of theta <48 degrees and theta >48 degrees by taking the theta=48 degrees as a standard, polynomial fitting is carried out on the two groups of data by using First Optimization, mathematical formulas of the east camp group and the sand river street group of 'H-theta-L-G' are established, and the lateral sealing capacity of the sliding derivative fracture of different layers is quantitatively represented;
(6) Evaluation: based on the lateral sealing capacity value of each sliding derivative fracture obtained in the step (5), the potential oil-gas-containing area of each fracture block trap is drawn by using double fox software, the exploration potential of each fracture block trap of the sliding fracture zone is predicted before drilling, the target sorting evaluation is preferably facilitated, and the well position deployment before drilling is guided.
2. The method for rapidly evaluating a walk-slip fault sealing capability based on multiple geological parameters according to claim 1, wherein the preparation of the geological parameters in step (1) is specifically implemented as follows: according to the dislocation relation of the same phase axis of the three-dimensional seismic data in the research mining area, carrying out fine explanation on the sliding derivative fracture zone, adopting a coherent algorithm and a curvature algorithm to make a coherent data body and a curvature data body, mutually verifying coherent slices and curvature slices and fracture explanation results, realizing equal to closure on regional fracture explanation space, realizing and drawing a fracture plane fracture outline map of each layer, definitely controlling the developed fracture block trap of the sliding derivative fracture, combing out the sliding derivative fracture of the research work area according to the fracture characteristics, and reading various geological parameters of each sliding derivative fracture.
3. The method for rapidly evaluating the fault sealing capability based on multiple geological parameters according to claim 1, wherein the specific implementation process of the geological parameter pre-acquisition in the step (3) is as follows: based on the numerical simulation result in the step (2), four geological parameters capable of reflecting the sliding derivative fracture sealing capability are selected, through analysis and research on all drilled oil fields of the Bohai oil fields, 78 oil fields and oil-gas containing structures are controlled by the sliding derivative fracture, the east nutrient group and the sand river street group are two most main sets of oil-gas containing layers, finally four geological parameters of the sliding derivative fracture development in the two sets of stratum of the oil fields and the oil-gas containing structures are counted, 1140 data points are obtained in total, and a detailed geological parameter database is built.
4. The method for rapidly evaluating a walk-slip fault sealing capability based on multiple geological parameters according to claim 1, wherein the specific process of realizing the exploration potential of each fault block trap of the walk-slip fracture zone predicted before drilling in the step (6) is as follows: firstly, carrying out non-drilling block trapping for controlling development of sliding derivative fracture based on a double-fox structural diagram, counting three geological parameters theta and L, G of sliding derivative fracture of each layer, then calculating the maximum hydrocarbon column height H of the trapping by using a mathematical model in the step (5), further drawing the potential oil and gas area of each block trapping by using double-fox software, calculating the resource quantity, realizing the exploration potential of predicting the trapping of each block of the sliding fracture zone before drilling, and preferably facilitating the target sequencing evaluation and guiding the well position deployment before drilling.
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