CN117951857A - Method and device for predicting in-situ construction crack extension length - Google Patents
Method and device for predicting in-situ construction crack extension length Download PDFInfo
- Publication number
- CN117951857A CN117951857A CN202211297391.9A CN202211297391A CN117951857A CN 117951857 A CN117951857 A CN 117951857A CN 202211297391 A CN202211297391 A CN 202211297391A CN 117951857 A CN117951857 A CN 117951857A
- Authority
- CN
- China
- Prior art keywords
- situ
- length
- crack
- opening
- fracture
- 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.)
- Pending
Links
- 238000011065 in-situ storage Methods 0.000 title claims abstract description 155
- 238000010276 construction Methods 0.000 title claims abstract description 120
- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000010952 in-situ formation Methods 0.000 claims description 33
- 238000003860 storage Methods 0.000 claims description 16
- 238000005553 drilling Methods 0.000 claims description 15
- 238000003384 imaging method Methods 0.000 claims description 15
- 238000012512 characterization method Methods 0.000 claims description 14
- 238000013178 mathematical model Methods 0.000 claims description 9
- 239000003208 petroleum Substances 0.000 abstract 1
- 206010017076 Fracture Diseases 0.000 description 103
- 208000010392 Bone Fractures Diseases 0.000 description 100
- 238000004590 computer program Methods 0.000 description 12
- 238000010586 diagram Methods 0.000 description 11
- 238000011161 development Methods 0.000 description 9
- 238000005259 measurement Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 239000011435 rock Substances 0.000 description 6
- 230000015572 biosynthetic process Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000004088 simulation Methods 0.000 description 3
- 208000002565 Open Fractures Diseases 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000011002 quantification Methods 0.000 description 2
- 229910021532 Calcite Inorganic materials 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 210000003484 anatomy Anatomy 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009933 burial Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000002591 computed tomography Methods 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 238000010008 shearing Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
Abstract
The embodiment of the application provides a method and a device for predicting the extension length of an in-situ structural fracture, and belongs to the technical field of petroleum geological exploration. The method comprises the following steps: obtaining sample data, wherein the sample data comprises: the length of the in-situ construction crack and opening data corresponding to the length of the in-situ construction crack; constructing a relationship prediction model of the length and the opening of the in-situ construction crack based on the sample data; determining opening data of an in-situ construction crack to be detected; and predicting the extension length of the in-situ construction crack to be detected based on the relation prediction model of the length and the opening degree of the in-situ construction crack to be detected and the opening degree data of the in-situ construction crack to be detected. According to the method, the trend extension length of the in-situ construction crack can be predicted quantitatively and with high precision through the relation prediction model of the length and the opening of the in-situ construction crack.
Description
Technical Field
The application relates to the technical field of computers, in particular to a method for predicting in-situ construction crack extension length, a device for predicting in-situ construction crack extension length, a machine-readable storage medium and a processor.
Background
Deep clastic rock has become an important field for future oil and gas scale exploration, and development of deep scale reservoirs is a key factor for efficient exploration and development. The in-situ construction of the fracture extension length under deep buried conditions is one of the most important parameters limiting the effectiveness of large-scale reservoirs, and fracture length prediction technology has become a short-cut technology for domestic and foreign basin simulation, deep conventional and very high oil and gas reservoir description and drilling fracturing tests.
Aiming at the evaluation and prediction of the length of the deep in-situ construction crack, the prior art has the problems that the characteristic of the predicted in-situ construction crack completely depends on drilling dynamic data and monitoring equipment, the predicted depth of imaging logging is limited, the trend extension length of the in-situ construction crack can not be predicted quantitatively and with high precision, and the like.
Disclosure of Invention
The embodiment of the application aims to provide a method and a device for predicting the extension length of an in-situ construction crack, which can realize quantification and high-precision prediction of the trend extension length of the in-situ construction crack.
To achieve the above object, a first aspect of the present application provides a method of predicting in-situ formation fracture extension, the method comprising:
Obtaining sample data, wherein the sample data comprises: the length of the in-situ construction crack and opening data corresponding to the length of the in-situ construction crack;
constructing a relationship prediction model of the length and the opening of the in-situ construction crack based on the sample data;
determining opening data of an in-situ construction crack to be detected;
And predicting the extension length of the in-situ construction crack to be detected based on the relation prediction model of the length and the opening degree of the in-situ construction crack to be detected and the opening degree data of the in-situ construction crack to be detected.
In an embodiment of the present application, the in situ fabricated fracture comprises: a tension fracture, a shear fracture, and echelon fracture; the in-situ construction fracture length and opening relation prediction model comprises the following steps: a double parabolic geometric characterization model.
In an embodiment of the present application, the constructing a relationship prediction model of a length and an opening of an in-situ construction fracture based on sample data includes: and constructing a relationship prediction model of the length and the opening of the in-situ construction cracks with different scales based on the sample data.
In an embodiment of the present application, the in-situ construction fracture length-opening relation prediction model with different dimensions includes: (1) A prediction model of the relationship between the length and the opening degree of an in-situ structure fracture having a length of 0m to 3m, which is represented by the following expression (2):
W＝-0.2681X2+0.7425X+0.2236； (1)；
L＝|X2-X1|； (2)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
In an embodiment of the present application, the in-situ construction fracture length-opening relation prediction model with different dimensions includes: (3) A model for predicting the relationship between the length and the opening of an in-situ structural fracture having a length of 3m to 10m, which is represented by the following expression (4):
W＝-0.083X2+0.6019X-0.1459； (3)；
L＝|X2-X1|； (4)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
In an embodiment of the present application, the in-situ construction fracture length-opening relation prediction model with different dimensions includes: (5) A model for predicting the relationship between the length and the opening of an in-situ structural fracture having a length of 10m to 15m, which is represented by the following expression (6):
W＝-0.039X2+0.4518X-0.1377； (5)；
L＝|X2-X1|； (6)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
In an embodiment of the present application, the determining opening data of the in-situ fabricated crack to be detected includes:
acquiring imaging logging data of an actual drilling interval of interest, the imaging logging data comprising: FMI resistivity;
Establishing a quantitative characterization mathematical model of the opening degree of the in-situ construction crack of the deep well drilling based on the well wall resistivity;
And determining opening data of the in-situ formation fracture to be measured based on the FMI resistivity and the quantitative characterization mathematical model of the opening of the deep well in-situ formation fracture.
In an embodiment of the present application, the determining the opening data of the in-situ fabricated crack to be detected further includes:
And (3) scanning the in-situ construction crack to be detected of the target interval through CT to determine opening data of the in-situ construction crack to be detected.
In a second aspect, the present application provides an apparatus for predicting in situ formation fracture propagation length, the apparatus comprising:
An acquisition module, configured to acquire sample data, where the sample data includes: the length of the in-situ construction crack and opening data corresponding to the length of the in-situ construction crack;
The construction module is used for constructing a relation prediction model of the length and the opening of the in-situ construction crack based on the sample data;
the determining module is used for determining opening data of the in-situ construction crack to be detected;
The prediction module is used for predicting the extension length of the in-situ construction crack to be detected based on the relation prediction model of the length and the opening degree of the in-situ construction crack and the opening degree data of the in-situ construction crack to be detected.
A third aspect of the application provides a processor configured to perform a method of predicting in situ formation fracture extension as described above.
A fourth aspect of the application provides a machine-readable storage medium having instructions stored thereon that, when executed by a processor, cause the processor to be configured to perform a method of predicting in situ formation fracture extension as described above.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
The application provides a method and a device for predicting the extension length of an in-situ construction crack. According to the method, the trend extension length of the in-situ construction crack can be predicted quantitatively and with high precision through the relation prediction model of the length and the opening of the in-situ construction crack.
Additional features and advantages of embodiments of the application will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain, without limitation, the embodiments of the application. In the drawings:
FIG. 1 schematically illustrates an application environment schematic of a method of predicting in situ formation fracture extension in accordance with an embodiment of the present application;
FIG. 2 schematically illustrates a flow diagram of a method of predicting in situ formation fracture extension in accordance with an embodiment of the present application;
fig. 3 schematically shows a fracture development pattern when the rock is stressed, wherein σ 1 is the maximum principal stress and σ 3 is the minimum principal stress;
FIG. 4 schematically illustrates a rock tensile construction fracture model schematic;
FIG. 5 schematically illustrates a natural fracture model of a rock-stretch-build fracture;
FIG. 6 schematically illustrates a double parabolic schematic of a tensile fracture according to an embodiment of the present application;
FIG. 7 schematically illustrates a double parabolic geometric model of a tensile fracture according to an embodiment of the present application;
FIG. 8 schematically shows a plot of crack strike measurement point (length) versus opening for a 0 m-3 m length in situ formation in accordance with an embodiment of the present application;
FIG. 9 schematically shows a plot of 3 m-10 m length in situ formation fracture strike measurement points (length) versus opening in accordance with an embodiment of the application;
FIG. 10 schematically shows a 10 m-15 m length in-situ formation fracture strike measurement point (length) versus opening correlation plot in accordance with an embodiment of the application;
FIG. 11 schematically illustrates a block diagram of an apparatus for predicting in situ formation fracture extension in accordance with an embodiment of the present application;
fig. 12 schematically shows an internal structural view of a computer device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the detailed description described herein is merely for illustrating and explaining the embodiments of the present application, and is not intended to limit the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that, if directional indications (such as up, down, left, right, front, and rear … …) are included in the embodiments of the present application, the directional indications are merely used to explain the relative positional relationship, movement conditions, etc. between the components in a specific posture, and if the specific posture is changed, the directional indications are correspondingly changed.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present application.
Aiming at the key problems that in-situ structure fracture characteristic prediction in the prior art is completely dependent on drilling dynamic data and monitoring equipment, physical simulation and numerical simulation, and the imaging logging prediction depth range is limited, the application provides a method for predicting the extension length of an in-situ structure fracture from the aspect of combining theory and reality, geology and high-resolution imaging logging based on the geometric configuration of the in-situ structure fracture and an in-situ opening-length geological model, and establishes a convenient, efficient and intelligent technical scheme.
The method for predicting the in-situ construction crack extension length can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smartphones, tablet computers, and portable wearable devices, and the server 104 may be implemented by a stand-alone server or a server cluster composed of a plurality of servers.
In situ formation fractures in embodiments of the present application refer to formation fractures in the formation under sedimentary basin burial conditions.
FIG. 2 schematically illustrates a flow diagram of a method of predicting in situ formation fracture propagation length according to an embodiment of the application. As shown in fig. 2, in an embodiment of the present application, a method for predicting an in-situ fabricated crack extension is provided, and this embodiment is mainly applied to the terminal 102 (or the server 104) in fig. 1 for illustration, and includes the following steps:
step 110, obtaining sample data, wherein the sample data comprises: and the length of the in-situ construction crack and opening degree data corresponding to the length of the in-situ construction crack.
In this embodiment, the sample data is from an in-situ construction fracture length and opening degree actual measurement database, and the sample data includes in-situ construction fracture length data and in-situ construction fracture opening degree data corresponding to the in-situ construction fracture length data. The in situ fabricated fracture comprises: open, shear, and echelon cracks.
In the embodiment, the distance between the along-trend measuring point and the sharp vanishing point of the crack and the crack opening of the measuring point can be obtained through manual actual measurement and laser radar scanning according to the structural crack characteristics of the full-filled calcite of the outdoor outcrop, and an actual measurement database of the distance and the opening of the in-situ structural crack of the stratum can be constructed.
And step 120, constructing a relationship prediction model of the length and the opening degree of the in-situ construction fracture based on the sample data.
In the embodiment, a double-parabola geometric characterization model is adopted as a relation prediction model of the length and the opening of the in-situ construction crack. Fig. 3 schematically shows the fracture mode when the rock is stressed, where σ 1 is the maximum principal stress and σ 3 is the minimum principal stress. In the embodiment, the configuration characteristics of the tensile fracture can be determined according to the cause mechanism and mechanical properties of the fracture, and illustratively, as shown in fig. 3, according to the mechanical theoretical model and the structural morphological evolution characteristics in the formation process of the rock structural fracture, the rock is considered to form the tensile fracture, the shear fracture, the compressive fracture, the echelon fracture and the fracture zone in the process of being subjected to structural stress; the spread of the tensile, shear and echelon slits has a double parabolic geometry, as shown in figures 4-5.
In this embodiment, a geometric characterization model y=ax 2 +bx+c of the opening degree of the fracture, the fracture-established fracture and echelon fracture and the fracture zone fracture and the double parabola along the running direction extension length can be established by comparing the fracture theoretical model and the natural fracture structure anatomy, as shown in fig. 6-7. Illustratively, a double parabolic geometric model of the open fracture is created with the structural features of the open fracture.
In this embodiment, the in-situ fabricated crack length-to-opening relationship prediction model includes in-situ fabricated crack length-to-opening relationship prediction models of different dimensions.
In this embodiment, the prediction model of the relationship between the length and the opening of the in-situ formation fracture with different dimensions is selected according to the regional geological background and the logging data. Illustratively, the weak development zone of the fracture (structural stability zone) employs formulas (1) - (2); the crack development zone (the broken back inclined wing part) adopts formulas (3) - (4); the strong development area of the crack (breaking off the back inclined core part of the belt and sliding and shearing the fracture belt) adopts formulas (5) - (6).
Fig. 8 schematically shows a graph of the correlation of the crack strike measurement point (length) and the opening degree of the in-situ construction of the length of 0 m-3 m according to the embodiment of the application.
Illustratively, as shown in fig. 8, the length-to-opening degree relationship prediction model of the in-situ constructed fracture with a length of 0m to 3m can be represented by (1) - (2):
W＝-0.2681X2+0.7425X+0.2236； (1)；
L＝|X2-X1|； (2)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
Fig. 9 schematically shows a graph of the correlation of 3 m-10 m length in-situ formation fracture strike measurement points (lengths) and opening degrees according to an embodiment of the application.
Illustratively, as shown in fig. 9, the length-to-opening degree relationship prediction model of the in-situ constructed fracture having a length of 3m to 10m can be represented by (3) - (4):
W＝-0.083X2+0.6019X-0.1459； (3)；
L＝|X2-X1|； (4)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
Fig. 10 schematically shows a 10 m-15 m length in-situ formation fracture strike measurement point (length) versus opening correlation graph according to an embodiment of the application.
Illustratively, as shown in fig. 10, the length-to-opening degree relationship prediction model of the in-situ constructed fracture having a length of 10m to 15m can be represented by (5) - (6):
W＝-0.039X2+0.4518X-0.1377； (5)；
L＝|X2-X1|； (6)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
And 130, determining opening data of the in-situ construction crack to be detected.
In this embodiment, the opening data of the to-be-measured in-situ fabricated crack may be determined through steps 131 to 133:
step 131, obtaining imaging logging data of an interval of an actual drilling objective, wherein the imaging logging data comprises: FMI resistivity.
In this embodiment, FMI refers to FMI (Formation MicroScanner Image) formation microresistivity scanning imaging, i.e., imaging logging techniques. FMI resistivity includes mud resistivity R m and invaded zone resistivity R xo.
And 132, establishing a deep well drilling in-situ construction crack opening quantitative characterization mathematical model based on the well wall resistivity.
In this embodiment, the quantitative characterization mathematical model of the opening degree of the in-situ fabricated fracture can be expressed by the formula (7):
Wherein FVA represents the average value of the crack track opening degree in the unit well section (1 m) and the unit is mm; r m is mud resistivity, and the unit is omega.m; r xo is the intrusion band resistivity in Ω & m; a and b are instrument-related parameters; a is the abnormal area of conductance caused by the parameters of the structural fracture, and the unit is m 2.
And step 133, determining opening data of the crack to be detected based on the FMI resistivity and the in-situ deep drilling construction crack opening quantitative characterization mathematical model.
In this embodiment, the mud resistivity R m and the invaded zone resistivity R xo may be obtained by measuring the wall mud of the interval of the drilling purpose and the wall of the invaded mud, and the opening data of the in-situ formation fracture may be calculated by substituting the measured mud resistivity R m and the invaded zone resistivity R xo into the formula (7).
And 140, predicting the extension length of the in-situ construction crack to be detected based on the relation prediction model of the length and the opening degree of the in-situ construction crack and the opening degree data of the in-situ construction crack to be detected.
In this embodiment, the opening data of the in-situ construction fracture is calculated by the formula (7), and then the opening data is substituted into a relation prediction model of the length and the opening of the in-situ construction fracture, that is, the formulas (1) - (6), so that the extension lengths of the in-situ construction fractures with different scales can be calculated.
In addition, opening data of the in-situ construction crack to be detected can be determined by CT scanning the in-situ construction crack to be detected of the target interval, after the opening data of the in-situ construction crack is determined, the opening data of the in-situ construction crack is substituted into a relation prediction model of the length and the opening of the in-situ construction crack, namely formulas (1) - (6), so that the extension lengths of the in-situ construction cracks with different scales can be calculated.
FIG. 2 is a flow diagram of a method of predicting in situ formation fracture propagation length in one embodiment. It should be understood that, although the steps in the flowchart of fig. 2 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
In one embodiment, as shown in fig. 11, an apparatus 200 for predicting in situ formation fracture extension is provided, comprising an acquisition module 210, a construction module 220, a determination module 230, and a prediction module 240, wherein:
an obtaining module 210, configured to obtain sample data, where the sample data includes: and the length of the in-situ construction crack and opening degree data corresponding to the length of the in-situ construction crack.
A construction module 220 is configured to construct a prediction model of the relationship between the length and the opening of the in-situ constructed fracture based on the sample data.
A determining module 230, configured to determine opening data of the in-situ fabricated fracture to be tested.
The prediction module 240 is configured to predict an extension length of the in-situ construction fracture to be measured based on a relationship prediction model of the length and the opening of the in-situ construction fracture and the opening data of the in-situ construction fracture to be measured.
The device for predicting the in-situ construction fracture extension length comprises a processor and a memory, wherein the acquisition module 210, the construction module 220, the determination module 230, the prediction module 240 and the like are all stored in the memory as program units, and the processor executes the program modules stored in the memory to realize corresponding functions.
The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The core can be provided with one or more than one core, and the method for predicting the in-situ construction crack extension length is realized by adjusting core parameters.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.
The embodiment of the application provides a storage medium, wherein a program is stored on the storage medium, and the program is executed by a processor to realize the method for predicting the in-situ construction crack extension length.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 12. The computer apparatus includes a processor a01, a network interface a02, a display screen a04, an input device a05, and a memory (not shown in the figure) which are connected through a system bus. Wherein the processor a01 of the computer device is adapted to provide computing and control capabilities. The memory of the computer device includes an internal memory a03 and a nonvolatile storage medium a06. The nonvolatile storage medium a06 stores an operating system B01 and a computer program B02. The internal memory a03 provides an environment for the operation of the operating system B01 and the computer program B02 in the nonvolatile storage medium a06. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. The computer program, when executed by the processor a01, implements a method of predicting in situ formation fracture extension. The display screen a04 of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device a05 of the computer device may be a touch layer covered on the display screen, or may be a key, a track ball or a touch pad arranged on a casing of the computer device, or may be an external keyboard, a touch pad or a mouse.
It will be appreciated by those skilled in the art that the structure shown in FIG. 12 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, the apparatus for predicting in-situ formation fracture propagation length provided by the present application may be implemented in the form of a computer program that is executable on a computer device such as that shown in FIG. 12. The memory of the computer device may store various program modules that make up the means for predicting in situ formation fracture propagation length, such as the acquisition module 210, the construction module 220, the determination module 230, and the prediction module 240 shown in fig. 11. The computer program of each program module causes the processor to carry out the steps in the method of predicting in situ construction fracture extension of each embodiment of the present application described in the present specification.
The computer apparatus shown in fig. 12 may perform step 110 by means of an acquisition module 210 in the apparatus for predicting in situ formation fracture extension as shown in fig. 11. The computer device may perform step 120 through build module 220. The computer device may perform step 130 via determination module 230. The computer device may perform step 140 via the prediction module 240.
The embodiment of the application provides equipment, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the processor realizes the following steps when executing the program:
step 110, obtaining sample data, wherein the sample data comprises: and the length of the in-situ construction crack and opening degree data corresponding to the length of the in-situ construction crack.
And step 120, constructing a relationship prediction model of the length and the opening degree of the in-situ construction fracture based on the sample data.
And 130, determining opening data of the in-situ construction crack to be detected.
And 140, predicting the extension length of the in-situ construction crack to be detected based on the relation prediction model of the length and the opening degree of the in-situ construction crack and the opening degree data of the in-situ construction crack to be detected.
In one embodiment, the fracture comprises: a tension fracture, a shear fracture, and echelon fracture; the in-situ construction fracture length and opening relation prediction model comprises the following steps: a double parabolic geometric characterization model.
In one embodiment, the constructing the in-situ constructed fracture length versus opening prediction model based on the sample data includes: and constructing a relationship prediction model of the length and the opening of the in-situ construction cracks with different scales based on the sample data.
In one embodiment, the in-situ constructed fracture length versus opening prediction model of different dimensions comprises: (1) A prediction model of the relationship between the length and the opening degree of an in-situ structure fracture having a length of 0m to 3m, which is represented by the following expression (2):
W＝-0.2681X2+0.7425X+0.2236； (1)；
L＝|X2-X1|； (2)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
In one embodiment, the in-situ constructed fracture length versus opening prediction model of different dimensions comprises: (3) A model for predicting the relationship between the length and the opening of an in-situ structural fracture having a length of 3m to 10m, which is represented by the following expression (4):
W＝-0.083X2+0.6019X-0.1459； (3)；
L＝|X2-X1|； (4)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
In one embodiment, the in-situ constructed fracture length versus opening prediction model of different dimensions comprises: (5) A model for predicting the relationship between the length and the opening of an in-situ structural fracture having a length of 10m to 15m, which is represented by the following expression (6):
W＝-0.039X2+0.4518X-0.1377； (5)；
L＝|X2-X1|； (6)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
In one embodiment, the determining the opening data of the in-situ fabricated fracture to be tested includes:
acquiring imaging logging data of an actual drilling interval of interest, the imaging logging data comprising: FMI resistivity;
Establishing a quantitative characterization mathematical model of the opening degree of the in-situ construction crack of the deep well drilling based on the well wall resistivity;
And determining opening data of the crack to be detected based on the FMI resistivity and the in-situ deep drilling construction crack opening quantitative characterization mathematical model.
In one embodiment, the determining the opening data of the in-situ fabricated fracture to be tested further includes: and (3) scanning the in-situ construction crack to be detected of the target interval through CT to determine opening data of the in-situ construction crack to be detected.
According to the method and the device for predicting the extension length of the in-situ structure crack, the double parabolic function is introduced, so that the form of the tensile crack can be accurately represented, the extension length of the deep in-situ structure crack fused by geology-logging is established from the condition that the outcrop filling crack represents the development condition of the deep in-situ structure crack, the depth of transverse detection of data such as a well bore is greatly improved, the depth is enlarged to about 10m from 5cm of FMI imaging logging, the overall improvement is several orders of magnitude, the oil and gas exploration and development are better guided, the exploration success rate is improved, and the stable and high-yield foundation of an oil and gas well is tamped.
The method and the device for predicting the in-situ construction crack extension length provided by the application can realize quantification and high-precision prediction of the in-situ construction crack transverse extension length based on imaging logging. The method has the advantages of developing full-layer full lithology, and being not limited by horizon and geologic lithology. Truly embody the development characteristics of cracks in the deep underground buried state. The method realizes the organic fusion of a geological method and a logging method, so that the transverse prediction depth of the length of the in-situ structure fracture of the well drilling is enlarged from 5cm of FMI to 15m, and the method improves the length by several orders of magnitude. Is more suitable for deep-ultra-deep high-temperature overpressure of the laminated composite basin.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer-readable media include both permanent and non-permanent, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (11)
1. A method of predicting in situ formation fracture propagation length, the method comprising:
Obtaining sample data, wherein the sample data comprises: the length of the in-situ construction crack and opening data corresponding to the length of the in-situ construction crack;
constructing a relationship prediction model of the length and the opening of the in-situ construction crack based on the sample data;
determining opening data of an in-situ construction crack to be detected;
And predicting the extension length of the in-situ construction crack to be detected based on the relation prediction model of the length and the opening degree of the in-situ construction crack to be detected and the opening degree data of the in-situ construction crack to be detected.
2. The method of claim 1, wherein the in situ-forming a fracture comprises: a tension fracture, a shear fracture, and echelon fracture; the in-situ construction fracture length and opening relation prediction model comprises the following steps: a double parabolic geometric characterization model.
3. The method of claim 2, wherein constructing a length-to-opening relationship prediction model of the in situ formation fracture based on the sample data comprises:
and constructing a relationship prediction model of the length and the opening of the in-situ construction cracks with different scales based on the sample data.
4. A method according to claim 3, wherein the in-situ constructed fracture length versus opening prediction model of different dimensions comprises: (1) A prediction model of the relationship between the length and the opening degree of an in-situ structure fracture having a length of 0m to 3m, which is represented by the following expression (2):
W＝-0.2681X2+0.7425X+0.2236； (1)；
L＝|X2-X1|； (2)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
5. A method according to claim 3, wherein the in-situ constructed fracture length versus opening prediction model of different dimensions comprises: (3) A model for predicting the relationship between the length and the opening of an in-situ structural fracture having a length of 3m to 10m, which is represented by the following expression (4):
W＝-0.083X2+0.6019X-0.1459； (3)；
L＝|X2-X1|； (4)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
6. A method according to claim 3, wherein the in-situ constructed fracture length versus opening prediction model of different dimensions comprises: (5) A model for predicting the relationship between the length and the opening of an in-situ structural fracture having a length of 10m to 15m, which is represented by the following expression (6):
W＝-0.039X2+0.4518X-0.1377； (5)；
L＝|X2-X1|； (6)；
Wherein L is the extension length along the crack direction, and the unit is m; w is the opening degree of the crack, and the unit is mm; x is the position coordinate of the measuring point, and the unit is m; x 1、X2 is two measuring points when the crack opening degree is 0, and the unit is m.
7. The method of claim 1, wherein determining opening data of the in situ formation fracture to be measured comprises:
acquiring imaging logging data of an actual drilling interval of interest, the imaging logging data comprising: FMI resistivity;
Establishing a quantitative characterization mathematical model of the opening degree of the in-situ construction crack of the deep well drilling based on the well wall resistivity;
And determining opening data of the in-situ formation fracture to be measured based on the FMI resistivity and the quantitative characterization mathematical model of the opening of the deep well in-situ formation fracture.
8. The method of claim 1, wherein determining opening data for the in situ formation fracture to be measured further comprises:
And (3) scanning the in-situ construction crack to be detected of the target interval through CT to determine opening data of the in-situ construction crack to be detected.
9. An apparatus for predicting in situ formation fracture propagation length, the apparatus comprising:
An acquisition module, configured to acquire sample data, where the sample data includes: the length of the in-situ construction crack and opening data corresponding to the length of the in-situ construction crack;
The construction module is used for constructing a relation prediction model of the length and the opening of the in-situ construction crack based on the sample data;
the determining module is used for determining opening data of the in-situ construction crack to be detected;
The prediction module is used for predicting the extension length of the in-situ construction crack to be detected based on the relation prediction model of the length and the opening degree of the in-situ construction crack and the opening degree data of the in-situ construction crack to be detected.
10. A processor configured to perform the method of predicting in-situ formation fracture extension of any one of claims 1 to 8.
11. A machine-readable storage medium having instructions stored thereon, which when executed by a processor, cause the processor to be configured to perform the method of predicting in-situ formation fracture extension of any one of claims 1 to 8.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211297391.9A CN117951857A (en) | 2022-10-21 | 2022-10-21 | Method and device for predicting in-situ construction crack extension length |
| PCT/CN2023/112923 WO2024082793A1 (en) | 2022-10-21 | 2023-08-14 | Method and apparatus for predicting extension length of in-situ tectonic fracture |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211297391.9A CN117951857A (en) | 2022-10-21 | 2022-10-21 | Method and device for predicting in-situ construction crack extension length |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117951857A true CN117951857A (en) | 2024-04-30 |
Family
ID=90736844
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211297391.9A Pending CN117951857A (en) | 2022-10-21 | 2022-10-21 | Method and device for predicting in-situ construction crack extension length |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN117951857A (en) |
| WO (1) | WO2024082793A1 (en) |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104155701B (en) * | 2014-07-03 | 2016-08-31 | 中国石油天然气集团公司 | A kind of multi-scale facture Forecasting Methodology utilizing Prestack seismic data and well information |
| CN106501856B (en) * | 2016-10-20 | 2018-07-27 | 东北石油大学 | Sub- earthquake fault quantitative forecasting technique |
| CN109710968B (en) * | 2018-11-14 | 2022-03-01 | 中国石油天然气股份有限公司 | Basement rock buried hill crack prediction method and device |
| CN111767647B (en) * | 2020-06-19 | 2021-09-14 | 中国石油大学(华东) | Method for quantitatively calculating scale of structural cracks in shale |
-
2022
- 2022-10-21 CN CN202211297391.9A patent/CN117951857A/en active Pending
-
2023
- 2023-08-14 WO PCT/CN2023/112923 patent/WO2024082793A1/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| WO2024082793A1 (en) | 2024-04-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10662763B2 (en) | Measuring transmissivity of wells from multiple logs | |
| Krietsch et al. | Comprehensive geological dataset describing a crystalline rock mass for hydraulic stimulation experiments | |
| EP3047096A1 (en) | Identifying geological formation depth structure using well log data | |
| Xu et al. | Method for calculating the fracture porosity of tight-fracture reservoirs | |
| WO2015084481A1 (en) | Tuning digital core analysis to laboratory results | |
| WO2017099751A1 (en) | Joint multi-physics monitoring of production wells with fiber optics | |
| Ding et al. | Reliability analysis of seismic attribute in the detection of fault-karst | |
| Jougnot et al. | Predicting the frequency-dependent effective excess charge density: A new upscaling approach for seismoelectric modeling | |
| Childers et al. | Fracture diagnostic technologies with process workflow for implementation | |
| CN117951857A (en) | Method and device for predicting in-situ construction crack extension length | |
| Al-Ameri et al. | Investigating geomechanical considerations on suitable layer selection for hydraulically fractured horizontal wells placement in tight reservoirs | |
| Yang et al. | Fracture identification of Ordovician carbonate reservoir based on R/S analysis in the north of the Shunbei no. 5 fault zone, Tarim Basin | |
| khair et al. | Correlation of rock mechanic properties with wireline log porosities through fulla oilfield-mugllad basin-sudan | |
| Kang et al. | Using the multi-component induction logging data to evaluate the geometric parameters of the hydraulic fracture | |
| Gohari et al. | DAS/DTS/DSS/DPS/DxS-do we measure what adds value? | |
| Gong et al. | Improving the Estimation of Fracture Length Using Resistivity and Borehole Image Logs | |
| Han et al. | Uncertainty and sensitivity analysis of in-situ stress in deep inclined strata | |
| Noohnejad et al. | Integrated mechanical earth model and quantitative risk assessment to successful drilling | |
| CN113449427B (en) | Method for determining shale pressure distribution | |
| Du et al. | Approach to predict land subsidence in old goafs considering the influence of engineering noise | |
| US11953647B2 (en) | System and method for radioactivity prediction to evaluate formation productivity | |
| Burghardt et al. | Autonomous Inversion of In Situ Deformation Measurement Data for CO2 Storage Decision Support | |
| Li et al. | Comparison and evaluation of overcoring and hydraulic fracturing stress measurements | |
| Camac et al. | Applications of stress field modelling using the distinct element method for petroleum production | |
| US20240003763A1 (en) | Helical optical fibers for strain measurement |
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 |