CN110632657B - Mudstone smearing type fault sealing analysis method and device - Google Patents

Mudstone smearing type fault sealing analysis method and device Download PDF

Info

Publication number
CN110632657B
CN110632657B CN201910756683.6A CN201910756683A CN110632657B CN 110632657 B CN110632657 B CN 110632657B CN 201910756683 A CN201910756683 A CN 201910756683A CN 110632657 B CN110632657 B CN 110632657B
Authority
CN
China
Prior art keywords
mudstone
fault
type fault
smearing
mudstone smearing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910756683.6A
Other languages
Chinese (zh)
Other versions
CN110632657A (en
Inventor
景紫岩
周福存
刘文强
苏玉平
李国斌
付占宝
陈广坡
张亚军
代寒松
洪亮
马凤良
王荣华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Petrochina Co Ltd
Original Assignee
Petrochina Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Petrochina Co Ltd filed Critical Petrochina Co Ltd
Priority to CN201910756683.6A priority Critical patent/CN110632657B/en
Publication of CN110632657A publication Critical patent/CN110632657A/en
Application granted granted Critical
Publication of CN110632657B publication Critical patent/CN110632657B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/282Application of seismic models, synthetic seismograms
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/30Analysis
    • G01V1/306Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/40Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
    • G01V1/44Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging using generators and receivers in the same well
    • G01V1/48Processing data
    • G01V1/50Analysing data

Abstract

The invention provides a mudstone smearing type fault closure analysis method and a mudstone smearing type fault closure analysis device, wherein the method comprises the following steps: acquiring section spread data, section distance information and layer data of the mudstone smearing type fault according to the post-stack seismic data of the area where the mudstone smearing type fault is located; obtaining a lithology data body of the mudstone smearing type fault according to the logging data of the region where the mudstone smearing type fault is located and the layer data of the fault; according to the section spreading data of the mudstone smearing type fault, carrying out meshing on the section of the mudstone smearing type fault to obtain a plurality of grid points of the section; obtaining mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault according to the fault distance information and the lithology data body of the mudstone smearing type fault; and analyzing the sealing performance of the mudstone smearing type fault according to mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault. The method can be used for analyzing the sealing performance of the mudstone smearing type fault and is high in accuracy.

Description

Mudstone smearing type fault sealing analysis method and device
Technical Field
The invention relates to the technical field of oil and gas exploration, in particular to a mudstone smearing type fault closure analysis method and a mudstone smearing type fault closure analysis device.
Background
Fault closure is always one of the core problems of petroleum geology research, is concerned by petroleum geologists at home and abroad, 80% of fault block oil and gas reservoirs are controlled by fault closure, fault closure analysis is directly related to whether trapping under fault control can be accurately judged to be stored or not and oil and gas height, and whether the oil and gas height and trapping area of the fault block trapping can be accurately judged and predicted or not, so that fault closure analysis is crucial to improving oil and gas exploration benefit, and exploration decision deployment and investment are directly influenced.
The mudstone smearing type fault is a main fault closed type, and the prior art of mudstone smearing type fault closure analysis generally analyzes the closure of a target fault through SGR (fault mud ratio), but in specific implementation, the SGR is too ideal, and only a simple proportional relation between the mud content and the fault distance is considered; meanwhile, the current closure analysis threshold value is basically from field drilling data and is estimated by an empirical value, and the current closure analysis threshold value cannot be evaluated for a block lacking drilling data. Therefore, the accuracy of the existing mudstone smear-type fault closure analysis is not high.
Disclosure of Invention
The embodiment of the invention provides a mudstone smearing type fault closure analysis method, which is used for analyzing the closure of a mudstone smearing type fault and has high accuracy and comprises the following steps:
acquiring section spread data, section distance information and layer data of the mudstone smearing type fault according to the post-stack seismic data of the area where the mudstone smearing type fault is located;
obtaining a lithology data body of the mudstone smearing type fault according to the logging data of the region where the mudstone smearing type fault is located and the layer data of the fault;
according to the section spreading data of the mudstone smearing type fault, carrying out meshing on the section of the mudstone smearing type fault to obtain a plurality of grid points of the section;
obtaining mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault according to the fault distance information and the lithology data body of the mudstone smearing type fault;
analyzing the sealing performance of the mudstone smearing type fault according to mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault;
analyzing the sealing performance of the mudstone smearing type fault according to mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault, and the method comprises the following steps: determining a mudstone smearing coefficient threshold of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault; comparing mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault with a threshold value of the mudstone smearing coefficient of the area where the mudstone smearing type fault is located, and analyzing the sealing performance of the mudstone smearing type fault;
according to geological data of a region where a mudstone smearing type fault is located, a threshold value of a mudstone smearing coefficient of the region where the mudstone smearing type fault is located is determined, and the threshold value comprises the following steps: determining parameters of a physical simulation model of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault; determining the minimum fault closure mudstone thickness and a mudstone smearing fracture zone of the mudstone smearing type fault, wherein the minimum fault closure mudstone thickness is obtained by performing a fault deformation physical simulation experiment on a physical simulation model of an area where the mudstone smearing type fault is located; obtaining mudstone thickness values and fracture distance values of a plurality of collection points on the mudstone smearing fracture zone; obtaining a quantitative relation between the mudstone thickness value and the mudstone smearing coefficient value according to the mudstone thickness values and the breaking distance values of a plurality of collection points on the mudstone smearing fracture zone; and calculating the mudstone smearing coefficient threshold of the region where the mudstone smearing type fault is located corresponding to the minimum fault blocking mudstone thickness according to the minimum fault blocking mudstone thickness and the quantitative relation.
The embodiment of the invention provides a mudstone smearing type fault closure analysis device, which is used for analyzing the closure of a mudstone smearing type fault and has high accuracy, and the device comprises:
the first data acquisition module is used for acquiring section spread data, section distance information and layer data of the mudstone smearing type fault according to the post-stack seismic data of the area where the mudstone smearing type fault is located;
the second data acquisition module is used for acquiring a lithology data body of the mudstone smearing type fault according to the logging data of the region where the mudstone smearing type fault is located and the layer data of the fault;
the meshing module is used for meshing the section of the mudstone smearing type fault according to the section spreading data of the mudstone smearing type fault to obtain a plurality of mesh points of the section;
the calculation module is used for obtaining mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault according to the fault distance information and the lithology data body of the mudstone smearing type fault;
the analysis module is used for analyzing the sealing property of the mudstone smearing type fault according to mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault;
the analysis module is specifically configured to: determining a mudstone smearing coefficient threshold of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault; comparing mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault with a threshold value of the mudstone smearing coefficient of the area where the mudstone smearing type fault is located, and analyzing the sealing performance of the mudstone smearing type fault; the method for determining the threshold value of the mudstone smearing coefficient of the region where the mudstone smearing type fault is located according to geological data of the region where the mudstone smearing type fault is located comprises the following steps: determining parameters of a physical simulation model of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault; determining the minimum fault closure mudstone thickness and a mudstone smearing fracture zone of the mudstone smearing type fault, wherein the minimum fault closure mudstone thickness is obtained by performing a fault deformation physical simulation experiment on a physical simulation model of an area where the mudstone smearing type fault is located; obtaining mudstone thickness values and fracture distance values of a plurality of collection points on the mudstone smearing fracture zone; obtaining a quantitative relation between the mudstone thickness value and the mudstone smearing coefficient value according to the mudstone thickness values and the breaking distance values of a plurality of collection points on the mudstone smearing fracture zone; and calculating the mudstone smearing coefficient threshold of the region where the mudstone smearing type fault is located corresponding to the minimum fault blocking mudstone thickness according to the minimum fault blocking mudstone thickness and the quantitative relation.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the mudstone smearing type fault closure analysis method.
An embodiment of the present invention also provides a computer-readable storage medium storing a computer program for executing the above mudstone smearing type fault sealing analysis method.
In the embodiment of the invention, the section spread data, the fault distance information and the horizon data of the mudstone smearing type fault are obtained according to the post-stack seismic data of the area where the mudstone smearing type fault is located; obtaining a lithology data body of the mudstone smearing type fault according to the logging data of the region where the mudstone smearing type fault is located and the layer data of the fault; according to the section spreading data of the mudstone smearing type fault, carrying out meshing on the section of the mudstone smearing type fault to obtain a plurality of grid points of the section; obtaining mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault according to the fault distance information and the lithology data body of the mudstone smearing type fault; and analyzing the sealing performance of the mudstone smearing type fault according to mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault. In the embodiment of the invention, the fracture surface distribution data, the fracture distance information and the horizon data of the mudstone smearing type fault are considered, the logging data of the area where the mudstone smearing type fault is located are also considered, the lithology data body of the mudstone smearing type fault is obtained through the data, the precision of the lithology data body of the mudstone smearing type fault obtained through the data is high, the mudstone smearing coefficient values of a plurality of grid points of the fracture surface can be obtained according to the lithology data body of the mudstone smearing type fault, the sealing performance of the fault is determined according to the mudstone smearing coefficient values of the grid points of the fracture surface, the mudstone smearing coefficient values are not qualitatively estimated by means of empirical values, and the accuracy is high.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a flow chart of a mudstone smear-type fault seal analysis method according to an embodiment of the invention;
FIG. 2 is a detailed flowchart of a mudstone smear-type fault closure analysis method according to an embodiment of the present invention;
FIG. 3 is a schematic illustration of post-stack seismic data for an area in which mudstone smear-type faults are located in an embodiment of the invention;
FIG. 4 is a schematic diagram of a lithology data volume for a mudstone smear-type fault in an embodiment of the invention;
FIG. 5 is a schematic diagram of a physical simulation model of an area in which mudstone smear-type faults are located according to an embodiment of the present invention;
FIG. 6 is a cross-sectional view of a fault deformation physical simulation experiment result in an embodiment of the present invention;
FIG. 7 is a graphical illustration of a quantified relationship between mudstone thickness values (H) and mudstone smearing coefficient values (SSF) in accordance with an embodiment of the present invention;
fig. 8 is a schematic diagram of a mudstone smear type fault closure analysis device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In consideration of the existing mudstone smear type fault closure analysis method, drilling data is generally utilized, and the inventor finds that the drilling data generally has two-dimension and locality, so that the existing mudstone smear type fault closure analysis method can only be used for simple two-dimension data calculation and analysis, and the closure threshold value can only be estimated according to the drilling data, and cannot well meet the accuracy and technical requirements of field exploration and production practice. Meanwhile, most of the existing analysis methods for the sealing performance of the mudstone smearing type fault determine the sealing performance through the ratio analysis of well logging data calculation fault mud. When the fault mud ratio is specifically implemented, two defects exist, firstly, the fault mud ratio only relates to the mud content and the fault distance of a certain well, the influence of lithological change is not considered, and secondly, the sealing threshold value cannot be determined in the area where the continuity and the heterogeneity of mudstone smearing are not considered, drilling data is incomplete or no drilling is carried out, so that the technical problem that the scientificity and the accuracy for analyzing the sealing of the mudstone smearing type fault are not high exists in the existing analysis method for the sealing of the mudstone smearing type fault. Aiming at the root cause of the technical problems, the inventor considers the influence of factors such as lithologic data and smearing continuity on the mudstone smearing type fault sealing performance, and carries out three-dimensional analysis on a target fault by utilizing the stacked seismic data and logging data, thereby solving the technical problems that the existing mudstone smearing type fault sealing performance analysis method can only carry out two-dimensional analysis and has low accuracy and scientificity in analyzing the fault sealing performance, and achieving the effect of determining the mudstone smearing type fault sealing performance with higher precision.
Based on the above, the embodiment of the invention provides a mudstone smearing type fault closure analysis method.
Fig. 1 is a flowchart of a mudstone smear type fault closure analysis method in an embodiment of the present invention, as shown in fig. 1, the method includes:
step 101, acquiring section spread data, section distance information and layer data of a mudstone smearing type fault according to post-stack seismic data of an area where the mudstone smearing type fault is located;
102, obtaining a lithology data body of the mudstone smearing type fault according to logging data of an area where the mudstone smearing type fault is located and layer data of the fault;
103, according to the section spreading data of the mudstone smearing type fault, carrying out grid division on the section of the mudstone smearing type fault to obtain a plurality of grid points of the section;
104, obtaining mudstone smearing coefficient values of a plurality of grid points of the fracture surface of the mudstone smearing type fault according to the fault distance information and the lithology data body of the mudstone smearing type fault;
and 105, analyzing the sealing performance of the mudstone smearing type fault according to mudstone smearing coefficient values of a plurality of grid points of the fracture surface of the mudstone smearing type fault.
In the embodiment of the invention, the fracture surface distribution data, the fracture distance information and the horizon data of the mudstone smearing type fault are considered, the logging data of the area where the mudstone smearing type fault is located are also considered, the lithology data body of the mudstone smearing type fault is obtained through the data, the precision of the lithology data body of the mudstone smearing type fault obtained through the data is high, the mudstone smearing coefficient values of a plurality of grid points of the fracture surface can be obtained according to the lithology data body of the mudstone smearing type fault, the sealing performance of the fault is determined according to the mudstone smearing coefficient values of the grid points of the fracture surface, the mudstone smearing coefficient values are not qualitatively estimated by means of empirical values, and the accuracy is high.
In particular, mudstone smearing is a ubiquitous geological phenomenon in fractured zones. In the process of fault movement, due to the large plasticity of the mudstone, the mudstone is crushed into clay under the action of extrusion stress or gravity, and a mudstone interlayer of erosive mudstone is formed between the upper and lower walls of the mudstone and on the sand cutting rock stratum. The mudstone smear layer is under the action of extrusion stress or gravity, so that not only can the mudstone particles invade into the sandstone fracture surface to block the pores, but also can the mudstone smear layer is subjected to dynamic deterioration with different degrees, so that the mudstone smear layer is densified and has sealing property. The post-stack seismic data of the area where the mudstone smear type fault is located can be input into seismic interpretation related software, such as Geoeast software, Landmark software or Geoframe software, so as to obtain the section spread data, the fault distance information and the horizon data of the mudstone smear type fault.
In specific implementation, there are various methods for obtaining the lithology data volume of the mudstone smear type fault according to the logging data of the area where the mudstone smear type fault is located and the layer data of the fault, and one example is given below.
In one embodiment, obtaining a lithology data volume of a mudstone smear type fault according to logging data of an area where the mudstone smear type fault is located and horizon data of the fault comprises:
constructing a lithology attribute model according to the logging data of the region where the mudstone smearing type fault is located and the layer data of the fault;
and loading the shale content data of the region where the mudstone smearing type fault is located into a lithology attribute model to obtain a lithology data body of the mudstone smearing type fault.
In the above embodiment, the logging data of the area where the mudstone smear type fault is located and the horizon data of the fault may be input into attribute modeling software, for example, Petrel software or GPTmodel software, to construct a lithology attribute model, but it should be understood that the above software is only an example, and other attribute modeling software may also be used, and relevant variations all fall within the protection scope of the present invention.
In one embodiment, there are various methods for obtaining mudstone smear coefficient values at a plurality of grid points of a fracture surface of a mudstone smear type fracture according to the fault distance information and the lithology data volume of the mudstone smear type fracture, and one embodiment is given below.
In one embodiment, obtaining mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault according to the fault distance information and the lithology data body of the broken mudstone smearing type layer comprises:
loading the lithology data body into a plurality of grid points of the section of the mudstone smearing type fault, and determining the mud content of each grid point of the section;
determining the fault distance value of each grid point of the fracture surface according to the fault distance information of the mudstone smearing type fracture surface;
and calculating mudstone smearing coefficient values of all grid points of the section according to the mudstone content and the fault distance value of all grid points of the section.
In one embodiment, the mudstone smearing coefficient value of each grid point of the section is calculated according to the mudstone content and the fracture distance value of each grid point of the section by adopting the following formula:
SSFi=Di×Vshi (1)
wherein, SSFiThe mudstone smearing coefficient value of the ith grid point of the section;
Dithe fault distance of the ith grid point of the cross section;
Vshithe mud content of the ith grid point of the cross section.
In specific implementation, there are various methods for analyzing the sealing performance of a mudstone-smeared fault according to mudstone smearing coefficient values of a plurality of grid points of a section of the mudstone-smeared fault, and one example is given below.
In one embodiment, analyzing the sealing of a mudstone-smeared fault according to mudstone smearing coefficient values of a plurality of grid points of a section of the mudstone-smeared fault comprises:
determining a mudstone smearing coefficient threshold of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault;
and comparing mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault with a threshold value of the mudstone smearing coefficient of the region where the mudstone smearing type fault is located, and analyzing the sealing property of the mudstone smearing type fault according to the comparison result.
In specific implementation, there are various methods for determining the threshold value of the mudstone smearing coefficient of the region where the mudstone smearing type fault is located according to the geological data of the region where the mudstone smearing type fault is located, and one embodiment is given below.
In one embodiment, determining a mudstone smearing coefficient threshold of a region in which a mudstone smearing type fault is located according to geological data of the region in which the mudstone smearing type fault is located includes:
determining parameters of a physical simulation model of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault;
determining the minimum fault closure mudstone thickness and a mudstone smearing fracture zone of the mudstone smearing type fault, wherein the minimum fault closure mudstone thickness is obtained by performing a fault deformation physical simulation experiment on a physical simulation model of an area where the mudstone smearing type fault is located;
obtaining mudstone thickness values and fracture distance values of a plurality of collection points on the mudstone smearing fracture zone;
obtaining a quantitative relation between the mudstone thickness value and the mudstone smearing coefficient value according to the mudstone thickness values and the breaking distance values of a plurality of collection points on the mudstone smearing fracture zone;
and calculating the mudstone smearing coefficient threshold of the region where the mudstone smearing type fault is located corresponding to the minimum fault blocking mudstone thickness according to the minimum fault blocking mudstone thickness and the quantitative relation.
In the above embodiment, the determined parameters of the physical simulation model of the area where the mudstone smearing type fault is located may be used to construct a physical simulation model of the corresponding area where the mudstone smearing type fault is located, the parameters of the physical simulation model of the area where the mudstone smearing type fault is located include the size of the physical simulation model, the number of layers and the thickness of a mudstone layer, a simulation displacement deformation amount, and simulation materials of a sandstone layer and a mudstone layer, and the specific process may include:
determining the size of a physical simulation model of an area where the mudstone smearing type fault is located according to the section spreading data, the section distance information and the layer data of the mudstone smearing type fault;
determining the layer number and the layer thickness of a mudstone layer in the physical simulation model according to the lithological data body of the mudstone smearing type fault;
determining the simulation displacement deformation of a fault deformation physical simulation experiment according to the fault distance value of the mudstone smearing type fault, wherein the fault distance is the maximum displacement;
in the physical simulation model, quartz sand is used for simulating a sandstone layer, clay is used for simulating a shale layer, and the two materials have high similarity and high stability and are simulation materials in the currently generally used physical simulation model.
When a physical simulation model of a region where a mudstone smearing type fault is located is subjected to a fault deformation physical simulation experiment, the minimum mudstone thickness Hmin of fault closure can be determined by measuring the mudstone smearing disconnection position of the physical simulation model section according to the mudstone thickness of a portion where continuity is not smeared by the mudstone, namely a fault closure failure portion in the physical simulation experiment.
In specific implementation, there are various methods for obtaining the quantitative relationship between the mudstone thickness value and the mudstone smearing coefficient value according to the mudstone thickness values and the breaking distance values of the multiple collection points on the mudstone smearing fracture zone, and one example is given below.
In one embodiment, obtaining a quantitative relation between a mudstone thickness value and a mudstone smearing coefficient value according to the mudstone thickness value and the breaking distance value of a plurality of collection points on the mudstone smearing fracture zone comprises:
obtaining mudstone smearing coefficient values corresponding to the multiple collecting points according to the breaking distance values of the multiple collecting points on the mudstone smearing fracture zone;
and fitting the mudstone thickness values of the plurality of collecting points on the mudstone smearing fracture zone with the mudstone smearing coefficient values corresponding to the plurality of collecting points to obtain the quantitative relation between the mudstone thickness values and the mudstone smearing coefficient values.
In the embodiment, a formula (1) is adopted, and mudstone smearing coefficient values corresponding to a plurality of collecting points are obtained according to the breaking distance values of the plurality of collecting points on the mudstone smearing fracture zone and the mud content of the collecting points. Then, obtaining mudstone thickness values of a plurality of collection points on the fracture belt in a fault deformation physical simulation experiment, and obtaining the quantitative relation between the mudstone thickness values of the collection points and the mudstone smearing coefficient value through a fitting method.
In one embodiment, the quantified relationship between mudstone thickness values and mudstone smearing coefficient values is:
H=B×SSF (2)
wherein H is a mudstone thickness value;
b is a coefficient;
SSF is mudstone smear coefficient value.
In the above examples, the coefficient B to be finally fitted is generally 0.5 to 0.7.
And then, according to the quantitative relation, calculating a mudstone smearing coefficient threshold value of the region where the mudstone smearing type fault corresponding to the fault closed minimum mudstone thickness Hmin is located.
In one embodiment, the method for analyzing the sealing of the mudstone smearing type fault by comparing mudstone smearing coefficient values of a plurality of grid points of the cross section of the mudstone smearing type fault with a threshold value of the mudstone smearing coefficient of the area where the mudstone smearing type fault is located comprises the following steps:
for each grid point, if the mudstone smearing coefficient value of the grid point is not greater than the threshold value of the mudstone smearing coefficient, the grid point is closed; otherwise, the grid point is not closed.
In specific implementation, the mudstone smearing type fault closure analysis method further comprises the following steps: and when the set number of grid points of the section of the fault are closed, determining to drill the fault block trap under the fault control.
Based on the above embodiment, the present invention provides the following embodiment to explain a detailed flow of the mudstone smear-type fault seal analysis method, and fig. 2 is a detailed flow chart of the mudstone smear-type fault seal analysis method according to the embodiment of the present invention, as shown in fig. 2, in an embodiment, the detailed flow of the mudstone smear-type fault seal analysis method includes:
step 201, acquiring section spread data, section distance information and layer data of a mudstone smearing type fault according to post-stack seismic data of an area where the mudstone smearing type fault is located;
202, constructing a lithology attribute model according to logging data of a region where a mudstone smearing type fault is located and layer data of the fault;
step 203, loading the shale content data of the region where the mudstone smearing type fault is located into a lithology attribute model to obtain a lithology data body of the mudstone smearing type fault;
step 204, according to the section spreading data of the mudstone smearing type fault, carrying out grid division on the section of the mudstone smearing type fault to obtain a plurality of grid points of the section;
step 205, loading the lithology data body into a plurality of grid points of the fracture surface of the mudstone smearing type fracture surface, and determining the mud content of each grid point of the fracture surface;
step 206, determining the fault distance value of each grid point of the fracture surface according to the fault distance information of the mudstone smearing type fracture surface;
step 207, calculating mudstone smearing coefficient values of all grid points of the section according to the mudstone content and the distance values of all grid points of the section;
208, determining parameters of a physical simulation model of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault;
step 209, determining a fault closure minimum mudstone thickness and a mudstone smearing fracture zone of the mudstone smearing type fault, wherein the fault closure minimum mudstone thickness is obtained by performing a fault deformation physical simulation experiment on a physical simulation model of an area where the mudstone smearing type fault is located;
step 210, obtaining mudstone thickness values and fracture distance values of a plurality of collection points on the mudstone smearing fracture zone;
step 211, obtaining mudstone smearing coefficient values corresponding to a plurality of collecting points according to the breaking distance values of the plurality of collecting points on the mudstone smearing fracture zone;
step 212, fitting the mudstone thickness values of the plurality of collecting points on the mudstone smearing fracture zone and the mudstone smearing coefficient values corresponding to the plurality of collecting points to obtain a quantitative relation between the mudstone thickness values and the mudstone smearing coefficient values;
step 213, calculating a mudstone smearing coefficient threshold value of a region where the mudstone smearing type fault is located, wherein the mudstone smearing coefficient threshold value corresponds to the minimum mudstone thickness of the fault closure according to the minimum mudstone thickness of the fault closure and the quantitative relation;
step 214, for each grid point, if the mudstone smearing coefficient value of the grid point is not greater than the threshold value of the mudstone smearing coefficient, the grid point is closed; otherwise, the grid point is not closed;
step 215, when the set number of grid points of the fault section are closed, determining to drill the fault block trap under fault control.
Of course, it is understood that other variations of the detailed flow of the mudstone smear-type fault closure analysis method may be adopted, and the related variations should fall within the scope of the present invention.
According to the method provided by the embodiment of the invention, the section spread data, the fault distance information and the horizon data of the mudstone smearing type fault are obtained according to the post-stack seismic data of the area where the mudstone smearing type fault is located; obtaining a lithology data body of the mudstone smearing type fault according to the logging data of the region where the mudstone smearing type fault is located and the layer data of the fault; according to the section spreading data of the mudstone smearing type fault, carrying out meshing on the section of the mudstone smearing type fault to obtain a plurality of grid points of the section; obtaining mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault according to the fault distance information and the lithology data body of the mudstone smearing type fault; and analyzing the sealing performance of the mudstone smearing type fault according to mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault. In the embodiment of the invention, the fracture surface distribution data, the fracture distance information and the horizon data of the mudstone smearing type fault are considered, the logging data of the area where the mudstone smearing type fault is located are also considered, the lithology data body of the mudstone smearing type fault is obtained through the data, the precision of the lithology data body of the mudstone smearing type fault obtained through the data is high, the mudstone smearing coefficient values of a plurality of grid points of the fracture surface can be obtained according to the lithology data body of the mudstone smearing type fault, the sealing performance of the fault is determined according to the mudstone smearing coefficient values of the grid points of the fracture surface, the mudstone smearing coefficient values are not qualitatively estimated by means of empirical values, and the accuracy is high.
One of the examples is given below to illustrate the specific application of the method proposed by the present invention.
By utilizing Geoaast software, cross section spread data, fault distance information and layer data of the mudstone smearing type faults are obtained according to the post-stack seismic data of the area where the mudstone smearing type faults are located, and FIG. 3 is a schematic diagram of the post-stack seismic data of the area where the mudstone smearing type faults are located in the embodiment of the invention.
And loading the logging data of the region where the mudstone smear type fault is located and the position data of the fault into an attribute modeling software Petrel software to obtain a lithology data body of the mudstone smear type fault. The logging data comprise a shale content curve, and fig. 4 is a schematic diagram of a lithology data body of a mudstone smear type fault in the embodiment of the invention.
According to the section spreading data of the mudstone smearing type section, carrying out grid division on the section of the mudstone smearing type section to obtain a plurality of grid points of the section, loading the lithology data body into the plurality of grid points of the section of the mudstone smearing type section, and determining the shale content of each grid point of the section; determining the fault distance value of each grid point of the fracture surface according to the fault distance information of the mudstone smearing type fracture surface; and (3) calculating mudstone smearing coefficient values of all grid points of the section by adopting a formula (1) according to the mudstone content and the distance value of all grid points of the section.
According to geological data of a region where a mudstone smearing type fault is located, determining parameters of a physical simulation model of the region where the mudstone smearing type fault is located, and the method specifically comprises the following steps: according to the section distribution data, the section distance information and the layer data of the mudstone smearing type faults, the size of a physical simulation model of an area where the mudstone smearing type faults are located is determined to be 45cm multiplied by 20cm multiplied by 30cm, the number of layers of the mudstone layer in the physical simulation model is determined to be 3 and the layer thickness is 1.5cm according to the lithological data body of the mudstone smearing type faults, the simulation displacement deformation quantity of a fault deformation physical simulation experiment is determined according to the section distance value of the mudstone smearing type faults, namely the section distance is 7cm at the maximum displacement, quartz sand is determined to be adopted in the physical simulation model to simulate the sandstone layer by adopting clay, and fig. 5 is a schematic diagram of the physical simulation model of the area where the mudstone smearing type faults are located. By carrying out a fault deformation physical simulation experiment on a physical simulation model of an area where a mudstone smearing type fault is located, the minimum thickness of the mudstone of fault closure of the mudstone smearing type fault is determined to be 0.96cm, and fig. 6 is a section view of a fault deformation physical simulation experiment result in the embodiment of the invention, and the section view is a smearing loss continuity analysis section.
Obtaining mudstone smearing coefficient values corresponding to a plurality of collecting points according to the breaking distance values of the plurality of collecting points on the mudstone smearing fracture zone by adopting a formula (1); the mudstone thickness values of a plurality of collection points on the mudstone smearing fracture zone and the mudstone smearing coefficient values corresponding to the collection points are fitted to obtain a quantitative relation between the mudstone thickness values and the mudstone smearing coefficient values, and fig. 7 is a chart of the quantitative relation between the mudstone thickness values (H) and the mudstone smearing coefficient values (SSF) in the embodiment of the invention, wherein the fitted coefficient B is 0.6.
And calculating the mudstone smearing coefficient threshold of the region where the mudstone smearing type fault corresponding to the minimum fault blocking mudstone thickness is 1.6 according to the minimum fault blocking mudstone thickness and the quantitative relation.
For each grid point, if the mudstone smearing coefficient value of the grid point is not greater than the threshold value of the mudstone smearing coefficient, the grid point is closed; otherwise, the grid point is not closed, and table 1 shows the result of the shale smearing type fault closure analysis in the embodiment of the present invention.
TABLE 1 mudstone smear type fault seal analysis results
Figure GDA0002725434970000121
Figure GDA0002725434970000131
Based on the same inventive concept, the embodiment of the invention also provides a mudstone smear type fault closure analysis device, which is described in the following embodiment. Because the principle of solving the problems is similar to that of a mudstone smearing type fault closure analysis method, the implementation of the device can be referred to the implementation of the method, and repeated parts are not described in detail.
Fig. 8 is a schematic diagram of a mudstone smear type fault closure analysis apparatus according to an embodiment of the present invention, and as shown in fig. 8, the apparatus includes:
the first data obtaining module 801 is used for obtaining section spread data, section distance information and layer data of mudstone smearing type faults according to the post-stack seismic data of the area where the mudstone smearing type faults are located;
a second data obtaining module 802, configured to obtain a lithology data volume of a mudstone smear type fault according to the logging data of the area where the mudstone smear type fault is located and the layer data of the fault;
the meshing module 803 is configured to perform meshing on the fracture surface of the mudstone smearing type fracture layer according to fracture surface distribution data of the mudstone smearing type fracture layer, so as to obtain a plurality of mesh points of the fracture surface;
the calculation module 804 is used for obtaining mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault according to the fault distance information and the lithology data body of the mudstone smearing type fault;
an analyzing module 805, configured to analyze the sealing performance of the mudstone-smeared fracture according to mudstone smearing coefficient values of a plurality of grid points of the fracture surface of the mudstone-smeared fracture.
In an embodiment, the second data obtaining module 802 is specifically configured to:
constructing a lithology attribute model according to the logging data of the region where the mudstone smearing type fault is located and the layer data of the fault;
and loading the shale content data of the region where the mudstone smearing type fault is located into a lithology attribute model to obtain a lithology data body of the mudstone smearing type fault.
In an embodiment, the calculation module 804 is specifically configured to:
loading the lithology data body into a plurality of grid points of the section of the mudstone smearing type fault, and determining the mud content of each grid point of the section;
determining the fault distance value of each grid point of the fracture surface according to the fault distance information of the mudstone smearing type fracture surface;
and calculating mudstone smearing coefficient values of all grid points of the section according to the mudstone content and the fault distance value of all grid points of the section.
In an embodiment, the analysis module 805 is specifically configured to:
determining a mudstone smearing coefficient threshold of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault;
and comparing mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault with a threshold value of the mudstone smearing coefficient of the region where the mudstone smearing type fault is located, and analyzing the sealing property of the mudstone smearing type fault according to the comparison result.
In an embodiment, the analysis module 805 is specifically configured to:
determining parameters of a physical simulation model of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault;
determining the minimum fault closure mudstone thickness and a mudstone smearing fracture zone of the mudstone smearing type fault, wherein the minimum fault closure mudstone thickness is obtained by performing a fault deformation physical simulation experiment on a physical simulation model of an area where the mudstone smearing type fault is located;
obtaining mudstone thickness values and fracture distance values of a plurality of collection points on the mudstone smearing fracture zone;
obtaining a quantitative relation between the mudstone thickness value and the mudstone smearing coefficient value according to the mudstone thickness values and the breaking distance values of a plurality of collection points on the mudstone smearing fracture zone;
and calculating the mudstone smearing coefficient threshold of the region where the mudstone smearing type fault is located corresponding to the minimum fault blocking mudstone thickness according to the minimum fault blocking mudstone thickness and the quantitative relation.
In an embodiment, the analysis module 805 is specifically configured to:
obtaining mudstone smearing coefficient values corresponding to the multiple collecting points according to the breaking distance values of the multiple collecting points on the mudstone smearing fracture zone;
and fitting the mudstone thickness values of the plurality of collecting points on the mudstone smearing fracture zone with the mudstone smearing coefficient values corresponding to the plurality of collecting points to obtain the quantitative relation between the mudstone thickness values and the mudstone smearing coefficient values.
In an embodiment, the analysis module 805 is specifically configured to:
for each grid point, if the mudstone smearing coefficient value of the grid point is not greater than the threshold value of the mudstone smearing coefficient, the grid point is closed; otherwise, the grid point is not closed.
In an embodiment, the mudstone smear-type fault seal analysis apparatus further comprises a drilling determination module 806 for:
and when the set number of grid points of the section of the fault are closed, determining to drill the fault block trap under the fault control.
In one embodiment, the well log data includes one or any combination of sonic, density, gamma, and shale content curves.
According to the device provided by the embodiment of the invention, the section spread data, the fault distance information and the horizon data of the mudstone smearing type fault are obtained according to the post-stack seismic data of the area where the mudstone smearing type fault is located; obtaining a lithology data body of the mudstone smearing type fault according to the logging data of the region where the mudstone smearing type fault is located and the layer data of the fault; according to the section spreading data of the mudstone smearing type fault, carrying out meshing on the section of the mudstone smearing type fault to obtain a plurality of grid points of the section; obtaining mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault according to the fault distance information and the lithology data body of the mudstone smearing type fault; and analyzing the sealing performance of the mudstone smearing type fault according to mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault. In the embodiment of the invention, the fracture surface distribution data, the fracture distance information and the horizon data of the mudstone smearing type fault are considered, the logging data of the area where the mudstone smearing type fault is located are also considered, the lithology data body of the mudstone smearing type fault is obtained through the data, the precision of the lithology data body of the mudstone smearing type fault obtained through the data is high, the mudstone smearing coefficient values of a plurality of grid points of the fracture surface can be obtained according to the lithology data body of the mudstone smearing type fault, the sealing performance of the fault is determined according to the mudstone smearing coefficient values of the grid points of the fracture surface, the mudstone smearing coefficient values are not qualitatively estimated by means of empirical values, and the accuracy is high.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present 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 flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may 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, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (12)

1. A mudstone smearing type fault closure analysis method is characterized by comprising the following steps:
acquiring section spread data, section distance information and layer data of the mudstone smearing type fault according to the post-stack seismic data of the area where the mudstone smearing type fault is located;
obtaining a lithology data body of the mudstone smearing type fault according to the logging data of the region where the mudstone smearing type fault is located and the layer data of the fault;
according to the section spreading data of the mudstone smearing type fault, carrying out meshing on the section of the mudstone smearing type fault to obtain a plurality of grid points of the section;
obtaining mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault according to the fault distance information and the lithology data body of the mudstone smearing type fault;
analyzing the sealing performance of the mudstone smearing type fault according to mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault;
analyzing the sealing performance of the mudstone smearing type fault according to mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault, and the method comprises the following steps: determining a mudstone smearing coefficient threshold of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault; comparing mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault with a threshold value of the mudstone smearing coefficient of the area where the mudstone smearing type fault is located, and analyzing the sealing performance of the mudstone smearing type fault;
according to geological data of a region where a mudstone smearing type fault is located, a threshold value of a mudstone smearing coefficient of the region where the mudstone smearing type fault is located is determined, and the threshold value comprises the following steps: determining parameters of a physical simulation model of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault; determining the minimum fault closure mudstone thickness and a mudstone smearing fracture zone of the mudstone smearing type fault, wherein the minimum fault closure mudstone thickness is obtained by performing a fault deformation physical simulation experiment on a physical simulation model of an area where the mudstone smearing type fault is located; obtaining mudstone thickness values and fracture distance values of a plurality of collection points on the mudstone smearing fracture zone; obtaining a quantitative relation between the mudstone thickness value and the mudstone smearing coefficient value according to the mudstone thickness values and the breaking distance values of a plurality of collection points on the mudstone smearing fracture zone; and calculating the mudstone smearing coefficient threshold of the region where the mudstone smearing type fault is located corresponding to the minimum fault blocking mudstone thickness according to the minimum fault blocking mudstone thickness and the quantitative relation.
2. The mudstone-smear-type-fault-closure analysis method according to claim 1, wherein obtaining the lithology data volume of the mudstone-smear-type fault from the log data of the area where the mudstone-smear-type fault is located and the horizon data of the fault comprises:
constructing a lithology attribute model according to the logging data of the region where the mudstone smearing type fault is located and the layer data of the fault;
and loading the shale content data of the region where the mudstone smearing type fault is located into a lithology attribute model to obtain a lithology data body of the mudstone smearing type fault.
3. The mudstone-smear-type fault seal analysis method according to claim 1, wherein obtaining mudstone smear coefficient values at a plurality of grid points of the fracture surface of the mudstone-smear-type fault according to the fault distance information of the broken mudstone-smear-type layer and the lithology data volume comprises:
loading the lithology data body into a plurality of grid points of the section of the mudstone smearing type fault, and determining the mud content of each grid point of the section;
determining the fault distance value of each grid point of the fracture surface according to the fault distance information of the mudstone smearing type fracture surface;
and calculating mudstone smearing coefficient values of all grid points of the section according to the mudstone content and the fault distance value of all grid points of the section.
4. The mudstone-smearing type fault closure analysis method of claim 1, wherein obtaining the quantitative relationship between the mudstone thickness value and the mudstone smearing coefficient value according to the mudstone thickness value and the fault distance value of a plurality of collection points on the mudstone-smearing fracture zone comprises:
obtaining mudstone smearing coefficient values corresponding to the multiple collecting points according to the breaking distance values of the multiple collecting points on the mudstone smearing fracture zone;
and fitting the mudstone thickness values of the plurality of collecting points on the mudstone smearing fracture zone with the mudstone smearing coefficient values corresponding to the plurality of collecting points to obtain the quantitative relation between the mudstone thickness values and the mudstone smearing coefficient values.
5. The mudstone-smear-type-fault-closure analyzing method according to claim 1, wherein the analyzing of the closure of the mudstone-smear-type fault by comparing mudstone-smear coefficient values of a plurality of grid points of the cross section of the mudstone-smear-type fault with a threshold value of the mudstone-smear coefficient of the area where the mudstone-smear-type fault is located comprises:
for each grid point, if the mudstone smearing coefficient value of the grid point is not greater than the threshold value of the mudstone smearing coefficient, the grid point is closed; otherwise, the grid point is not closed.
6. The mudstone-smear-type fault seal analysis method according to claim 5, further comprising:
and when the set number of grid points of the section of the fault are closed, determining to drill the fault block trap under the fault control.
7. The mudstone-smear-type fault seal analysis method of claim 1, wherein the log data comprises one or any combination of sonic, density, gamma, and shale content curves.
8. The mudstone-smear-type fault seal analysis method according to claim 3, wherein the mudstone smear coefficient value at each grid point of the fracture surface is calculated from the mudcontent and the fault distance value at each grid point of the fracture surface using the following formula:
SSFi=Di×Vshi
wherein, SSFiThe mudstone smearing coefficient value of the ith grid point of the section;
Dithe fault distance of the ith grid point of the cross section;
Vshithe mud content of the ith grid point of the cross section.
9. The mudstone-smear-type fault seal analysis method according to claim 4, wherein the quantitative relationship between the mudstone thickness value and the mudstone-smear coefficient value is:
H=B×SSF
wherein H is a mudstone thickness value;
b is a coefficient;
SSF is mudstone smear coefficient value.
10. A mudstone smearing type fault closure analysis device is characterized by comprising:
the first data acquisition module is used for acquiring section spread data, section distance information and layer data of the mudstone smearing type fault according to the post-stack seismic data of the area where the mudstone smearing type fault is located;
the second data acquisition module is used for acquiring a lithology data body of the mudstone smearing type fault according to the logging data of the region where the mudstone smearing type fault is located and the layer data of the fault;
the meshing module is used for meshing the section of the mudstone smearing type fault according to the section spreading data of the mudstone smearing type fault to obtain a plurality of mesh points of the section;
the calculation module is used for obtaining mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault according to the fault distance information and the lithology data body of the mudstone smearing type fault;
the analysis module is used for analyzing the sealing property of the mudstone smearing type fault according to mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault;
the analysis module is specifically configured to: determining a mudstone smearing coefficient threshold of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault; comparing mudstone smearing coefficient values of a plurality of grid points of the section of the mudstone smearing type fault with a threshold value of the mudstone smearing coefficient of the area where the mudstone smearing type fault is located, and analyzing the sealing performance of the mudstone smearing type fault; the method for determining the threshold value of the mudstone smearing coefficient of the region where the mudstone smearing type fault is located according to geological data of the region where the mudstone smearing type fault is located comprises the following steps: determining parameters of a physical simulation model of the region of the mudstone smearing type fault according to geological data of the region of the mudstone smearing type fault; determining the minimum fault closure mudstone thickness and a mudstone smearing fracture zone of the mudstone smearing type fault, wherein the minimum fault closure mudstone thickness is obtained by performing a fault deformation physical simulation experiment on a physical simulation model of an area where the mudstone smearing type fault is located; obtaining mudstone thickness values and fracture distance values of a plurality of collection points on the mudstone smearing fracture zone; obtaining a quantitative relation between the mudstone thickness value and the mudstone smearing coefficient value according to the mudstone thickness values and the breaking distance values of a plurality of collection points on the mudstone smearing fracture zone; and calculating the mudstone smearing coefficient threshold of the region where the mudstone smearing type fault is located corresponding to the minimum fault blocking mudstone thickness according to the minimum fault blocking mudstone thickness and the quantitative relation.
11. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 9 when executing the computer program.
12. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 9.
CN201910756683.6A 2019-08-16 2019-08-16 Mudstone smearing type fault sealing analysis method and device Active CN110632657B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910756683.6A CN110632657B (en) 2019-08-16 2019-08-16 Mudstone smearing type fault sealing analysis method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910756683.6A CN110632657B (en) 2019-08-16 2019-08-16 Mudstone smearing type fault sealing analysis method and device

Publications (2)

Publication Number Publication Date
CN110632657A CN110632657A (en) 2019-12-31
CN110632657B true CN110632657B (en) 2021-03-30

Family

ID=68970567

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910756683.6A Active CN110632657B (en) 2019-08-16 2019-08-16 Mudstone smearing type fault sealing analysis method and device

Country Status (1)

Country Link
CN (1) CN110632657B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113534248A (en) * 2020-04-17 2021-10-22 中国石油天然气股份有限公司 Method, device and system for quantitatively analyzing closure of trap fault
CN113552622A (en) * 2020-04-24 2021-10-26 中国石油天然气股份有限公司 Fault plugging property analysis method and device
CN112083144B (en) * 2020-09-01 2021-10-15 中国科学院地质与地球物理研究所 Fault on-off prediction method and device, computer equipment and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010104535A1 (en) * 2009-03-13 2010-09-16 Exxonmobil Upstream Research Company Method for predicting fluid flow
CN106324676A (en) * 2016-10-21 2017-01-11 中国石油天然气股份有限公司 Method and device for determining fault sealing property

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010104535A1 (en) * 2009-03-13 2010-09-16 Exxonmobil Upstream Research Company Method for predicting fluid flow
CN106324676A (en) * 2016-10-21 2017-01-11 中国石油天然气股份有限公司 Method and device for determining fault sealing property

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Clay smear: Review of mechanisms and applications;Peter J. Vrolijk et al.;《Journal of Structural Geology》;20151103;第95-152页 *
Main Factors Controlling Hydrocarbon Accumulation of Upper Carboniferous in M Block, Pre-Caspian Basin;Li Guobin et al.;《International Conference on Energy and Environmental Protection (ICEEP 2016)》;20161231;第29-39页 *
断层封闭性定量评价—以安哥拉Sangos油田为例;张文彪等;《油气地质与采收率》;20151130;第22卷(第6期);第23-24页 *
泥岩涂抹系数及其在断层侧向封闭性研究中的应用;傅广等;《石油勘探与开发》;19961231;第23卷(第6期);第38-41页 *

Also Published As

Publication number Publication date
CN110632657A (en) 2019-12-31

Similar Documents

Publication Publication Date Title
RU2669948C2 (en) Multistage oil field design optimisation under uncertainty
US11209561B2 (en) Generation of fault displacement vector and/or fault damage zone in subsurface formation using stratigraphic function
US10712472B2 (en) Method and system for forming and using a subsurface model in hydrocarbon operations
KR101618713B1 (en) 3-Dimensional Space Modeling Method based on the Geotechnical Information
CN105652323B (en) A kind of method for predicting reservoir
CN110632657B (en) Mudstone smearing type fault sealing analysis method and device
CN104992468A (en) Fracture-cavern type carbonate hydrocarbon reservoir three-dimensional geological modeling method
EP2904530B1 (en) System, method and computer program product for determining placement of perforation intervals using facies, fluid boundaries, geobodies and dynamic fluid properties
CN105701319B (en) A kind of microfacies modeling method under horizontal well rule well pattern
WO2019238451A1 (en) A method and a system for modelling and simulating a fractured geological structure
CN110632652B (en) Method and device for determining oil-gas migration mode of fault block oil-gas reservoir
CN110632658B (en) Lateral sealing analysis method and device for fault
CN110632656B (en) Method and device for analyzing transverse sealing property of fault
CN114690243A (en) Three-dimensional numerical simulation recovery method and device for paleolithologic fault sealing
WO2022011015A1 (en) Optimization of discrete fracture network (dfn) using streamlines and machine learning
CN111027780B (en) Oil potential field simulation method and device
CN114185083A (en) Quantitative evaluation method for fault sealing in clastic rock stratum
CA2889722C (en) System, method and computer program product for evaluating and ranking geobodies using a euler characteristic
US10460051B2 (en) Computationally-efficient modeling of viscous fingering effect for enhanced oil recovery (EOR) agent injected at multiple injection concentrations
CN113031056B (en) Fault closure analysis method and device under construction constraint
Stohler et al. 3D numerical modelling and simulation of the impact of fault zones on fluid flow in sandstones of the Rio do Peixe Basin, NE Brazil
CN113534248A (en) Method, device and system for quantitatively analyzing closure of trap fault
CN113376692B (en) Method and device for optimizing fracturing modification scheme of tight sandstone gas horizontal well
Hui et al. A hybrid embedded discrete fracture model and dual-porosity, dual-permeability workflow for hierarchical treatment of fractures in practical field studies
CN114114411B (en) Quantitative determination method and device for three-dimensional fault dredge

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant