CN111985081B - Logging curve construction method, system, equipment and readable storage medium - Google Patents
Logging curve construction method, system, equipment and readable storage medium Download PDFInfo
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- CN111985081B CN111985081B CN202010681394.7A CN202010681394A CN111985081B CN 111985081 B CN111985081 B CN 111985081B CN 202010681394 A CN202010681394 A CN 202010681394A CN 111985081 B CN111985081 B CN 111985081B
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- 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
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/203—Drawing of straight lines or curves
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/30—Assessment of water resources
Abstract
The embodiment of the application discloses a logging curve construction method, a system, equipment and a readable storage medium, wherein the method comprises the following steps: establishing a stratum model by using the well logging curve of the guide well or the adjacent well of the horizontal well, and establishing a stratum model of the well logging curve in the target area; calculating a logging response value of the track point according to the detection distance of the logging instrument, the attribute value corresponding to the detection horizon in the detection distance range of each horizontal well track point and the stratum thickness; and determining a logging curve of the target interval according to the logging response value of the track point. Therefore, the square wave form of abrupt change of the well logging value is avoided when the horizon is crossed, and the form of gradual change of the well logging value can be formed.
Description
Technical Field
The embodiment of the application relates to the technical field of petroleum exploration, in particular to a logging curve construction method, a logging curve construction system, logging curve construction equipment and a readable storage medium.
Background
In the construction analysis and interpretation of horizontal wells, it is necessary to build a formation model using the well log of the leading well or the adjacent vertical well of the horizontal well and then extract the well log of the well log response from the formation model along the horizontal well trajectory using physical mathematical means to perform the construction analysis and interpretation.
However, the current log curve extraction method is relatively simple, the extracted curve is in a square wave form, and the extracted curve is greatly different from the actual log curve form in actual work, and needs to be optimized.
Disclosure of Invention
Therefore, the embodiment of the application provides a method, a system, equipment and a readable storage medium for constructing a logging curve, which avoid square wave formation of abrupt change of logging values when crossing horizons, and can form the formation of gradual change of logging values.
In order to achieve the above purpose, the embodiment of the present application provides the following technical solutions:
according to a first aspect of embodiments of the present application, there is provided a method of well log construction, the method comprising:
establishing a stratum model by using the well logging curve of the guide well or the adjacent well of the horizontal well, and establishing a stratum model of the well logging curve in the target area;
calculating a logging response value of the track point according to the detection distance of the logging instrument, the attribute value corresponding to the detection horizon in the detection distance range of each horizontal well track point and the stratum thickness;
and determining a logging curve of the target interval according to the logging response value of the track point.
Optionally, the formation model divides the formation into different layers according to a square-wave standard curve, each layer having a formation thickness and attribute value.
Optionally, the logging response value of the track point is calculated according to the following formula according to the detection distance of the logging instrument, the logging curve response value on each horizontal well track point, the attribute value corresponding to the detection horizon of the detection distance range and the stratum thickness:
wherein L is the detection distance of the logging instrument, Y is the response value of the logging curve on each horizontal well track point, xn is the attribute value corresponding to each of the 1 st detection horizon to the n th detection horizon according to the set sequence in the detection distance range, and Ln is the stratum thickness corresponding to each of the 1 st detection horizon to the n th detection horizon in the detection distance range.
According to a second aspect of embodiments of the present application, there is provided a log construction system, the system comprising:
the stratum model building module is used for building a stratum model by using the well logging curves of the guide well or the adjacent well of the horizontal well and building a stratum model of the well logging curves in the target area; the method comprises the steps of carrying out a first treatment on the surface of the
The logging response value calculation module is used for calculating the logging response value of the track points according to the detection distance of the logging instrument, the attribute values corresponding to the detection positions in the detection distance range on each horizontal well track point and the stratum thickness;
and the logging curve module is used for determining the logging curve of the target interval according to the logging response value of the track point.
Optionally, the formation model divides the formation into different layers according to a square-wave standard curve, each layer having a formation thickness and attribute value.
Optionally, the logging response value calculation module calculates according to the following formula:
wherein L is the detection distance of the logging instrument, Y is the response value of the logging curve on each horizontal well track point, xn is the attribute value corresponding to each of the 1 st detection horizon to the n th detection horizon according to the set sequence in the detection distance range, and Ln is the stratum thickness corresponding to each of the 1 st detection horizon to the n th detection horizon in the detection distance range.
According to a third aspect of embodiments of the present application, there is provided an apparatus comprising: the device comprises a data acquisition device, a processor and a memory; the data acquisition device is used for acquiring data; the memory is used for storing one or more program instructions; the processor is configured to execute one or more program instructions to perform the method of any of the first aspects.
According to a fourth aspect of embodiments of the present application, there is provided a computer readable storage medium having embodied therein one or more program instructions for performing the method according to any of the first aspects.
In summary, the embodiments of the present application provide a method, a system, an apparatus, and a readable storage medium for constructing a logging curve, where a formation model is built by using a logging curve of a guide well or an adjacent well of a horizontal well, and a logging curve formation model in a target area is built; calculating a logging response value of the track point according to the detection distance of the logging instrument, the attribute value corresponding to the detection horizon in the detection distance range of each horizontal well track point and the stratum thickness; and determining a logging curve of the target interval according to the logging response value of the track point. Therefore, the square wave form of abrupt change of the well logging value is avoided when the horizon is crossed, and the form of gradual change of the well logging value can be formed.
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 will be apparent to those of ordinary skill in the art that the drawings in the following description are exemplary only and that other implementations can be obtained from the extensions of the drawings provided without inventive effort.
The structures, proportions, sizes, etc. shown in the present specification are shown only for the purposes of illustration and description, and are not intended to limit the scope of the invention, which is defined by the claims, so that any structural modifications, changes in proportions, or adjustments of sizes, which do not affect the efficacy or the achievement of the present invention, should fall within the scope of the invention.
Fig. 1 is a schematic flow chart of a logging curve construction method provided in an embodiment of the present application;
FIG. 2 is a schematic diagram of a formation model provided in an embodiment of the present application;
FIG. 3 is a schematic diagram of a method for calculating a logging response according to an embodiment of the present disclosure;
fig. 4 is a block diagram of a log construction system according to an embodiment of the present application.
Detailed Description
Other advantages and advantages of the present invention will become apparent to those skilled in the art from the following detailed description, which, by way of illustration, is to be read in connection with certain specific embodiments, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 shows a method for constructing a logging curve according to an embodiment of the present application, where the method includes the following steps:
step 101: and establishing a stratum model by using the well logging curves of the guide well or the adjacent well of the horizontal well, and establishing a stratum model of the well logging curves in the target area.
Step 102: and calculating a logging response value of the track point according to the detection distance of the logging instrument, the attribute value corresponding to the detection horizon in the detection distance range of each horizontal well track point and the stratum thickness.
Step 103: and determining a logging curve of the target interval according to the logging response value of the track point.
In one possible embodiment, the formation model divides the formation into different layers according to a square-wave standard curve, each layer having a formation thickness and property value.
In one possible implementation manner, the logging response value of the track point is calculated according to the formula (1) according to the detection distance of the logging instrument, the attribute value corresponding to the detection horizon in the detection distance range on each horizontal well track point and the stratum thickness:
wherein L is the detection distance of the logging instrument, Y is the response value of the logging curve on each horizontal well track point, xn is the attribute value corresponding to each of the 1 st detection horizon to the n th detection horizon according to the set sequence in the detection distance range, and Ln is the stratum thickness corresponding to each of the 1 st detection horizon to the n th detection horizon in the detection distance range.
Embodiments of the present application will be further described with reference to fig. 2 and 3:
FIG. 2 is a graph of a horizontal well or a vertical well adjacent to a vertical well using a well log to create a formation model that divides the formation into small layers, each layer having a thickness and property value, according to a square-wave standard curve.
FIG. 3 is a schematic diagram of a method of calculating a well log response. Before logging curve simulation, firstly, setting a detection radius L of a logging instrument, wherein Y is a logging curve response value on each horizontal well track point to be obtained, and X1, X2 and X3 are respectively corresponding attribute values from the first detectable layer to the last detection layer from top to bottom; l1, L2 and L3 are the thickness of the stratum which is respectively corresponding to the thickness of the stratum which can be detected by the instrument from the first detectable layer to the last detectable layer from top to bottom. Then the logging response value of the current track point is calculated through the formula (1).
In fig. 2, the simulated logging curve GR does not have square-wave right-angle abrupt change morphology, and the morphology is gradually more attractive, and accords with the real drilling logging curve.
It can be seen that the embodiment of the application provides a simple and practical simulation method for logging response of a horizontal well in a stratum model, and the obtained logging curve avoids square wave form of abrupt change of logging values when crossing horizons, forms a form of gradual change of logging values, continuously gradually changes when crossing layers, forms a form similar to the logging curve, and is more attractive and real.
In summary, the embodiment of the present application provides a method for constructing a logging curve, which includes establishing a stratum model by using a logging curve of a guide well of a horizontal well, and obtaining target logging curve data in a target area; calculating a well logging curve response value on a horizontal well track point according to the detection distance of the well logging instrument and the attribute value and the stratum thickness respectively corresponding to the detection horizon of the detection distance range; and further determining a logging curve of the target interval according to the logging response value of the track point. Therefore, the square wave form of abrupt change of the well logging value is avoided when the horizon is crossed, and the form of gradual change of the well logging value can be formed.
Based on the same technical concept, the embodiment of the application also provides a logging curve construction system, as shown in fig. 4, wherein the system comprises:
the formation model building module 401 is configured to build a formation model by using the well logging curves of the guide well or the adjacent well of the horizontal well, and build a formation model of the well logging curves in the target area.
The logging response value calculation module 402 is configured to calculate a logging response value of the track point according to a detection distance of the logging instrument, an attribute value corresponding to a detection horizon in a detection distance range on each horizontal well track point, and a formation thickness.
A log module 403 for determining a log of the target interval from the log response values of the trace points.
In one possible embodiment, the formation model divides the formation into different layers according to a square-wave standard curve, each layer having a formation thickness and property value.
In one possible embodiment, the logging response value calculation module calculates according to formula (1).
Based on the same technical concept, the embodiment of the application also provides an apparatus, which includes: the device comprises a data acquisition device, a processor and a memory; the data acquisition device is used for acquiring data; the memory is used for storing one or more program instructions; the processor is configured to execute one or more program instructions to perform a method as set forth in any one of the methods above.
Based on the same technical concept, the embodiments of the present application also provide a computer readable storage medium, where one or more program instructions are included, where the one or more program instructions are configured to perform a method according to any one of the above methods.
In the present specification, each embodiment of the method is described in a progressive manner, and identical and similar parts of each embodiment are referred to each other, and each embodiment mainly describes differences from other embodiments. For relevance, see the description of the method embodiments.
It should be noted that although the operations of the method of the present invention are depicted in the drawings in a particular order, this does not require or imply that the operations be performed in that particular order or that all illustrated operations be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
Although the present application provides method operational steps as embodiments or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented by an apparatus or client product in practice, the methods illustrated in the embodiments or figures may be performed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed data processing environment). 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, it is not excluded that additional identical or equivalent elements may be present in a process, method, article, or apparatus that comprises a described element.
The units, devices or modules etc. set forth in the above embodiments may be implemented in particular by a computer chip or entity or by a product having a certain function. For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, when implementing the present application, the functions of each module may be implemented in the same or multiple pieces of software and/or hardware, or a module that implements the same function may be implemented by multiple sub-modules or a combination of sub-units, or the like. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller can be regarded as a hardware component, and means for implementing various functions included therein can also be regarded as a structure within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general purpose hardware platform. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a mobile terminal, a server, or a network device, etc.) to perform the methods described in the various embodiments or some parts of the embodiments of the present application.
Various embodiments in this specification are described in a progressive manner, and identical or similar parts are all provided for each embodiment, each embodiment focusing on differences from other embodiments. The subject application is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present application and are not meant to limit the scope of the invention, but to limit the scope of the invention.
Claims (6)
1. A method of well log construction, the method comprising:
establishing a stratum model by using the well logging curve of the guide well or the adjacent well of the horizontal well, and establishing a stratum model of the well logging curve in the target area;
calculating a logging response value of the track point according to the detection distance of the logging instrument, the attribute value corresponding to the detection horizon in the detection distance range of each horizontal well track point and the stratum thickness;
determining a logging curve of the target interval according to the logging response value of the track point;
and calculating a logging response value of the track point according to the detection distance of the logging instrument, the attribute value and the stratum thickness corresponding to the detection horizon in the detection distance range of each horizontal well track point, and the following formula:
wherein L is the detection distance of the logging instrument, Y is the response value of the logging curve on each horizontal well track point, xn is the attribute value corresponding to each of the 1 st detection horizon to the n th detection horizon according to the set sequence in the detection distance range, and Ln is the stratum thickness corresponding to each of the 1 st detection horizon to the n th detection horizon in the detection distance range.
2. The method of claim 1, wherein the stratigraphic model divides the stratigraphic into different layers according to a squaring standard curve, each layer having a stratigraphic thickness and attribute value.
3. A log construction system, the system comprising:
the stratum model building module is used for building a stratum model by using the well logging curves of the guide well or the adjacent well of the horizontal well and building a stratum model of the well logging curves in the target area;
the logging response value calculation module is used for calculating the logging response value of the track points according to the detection distance of the logging instrument, the attribute values corresponding to the detection positions in the detection distance range on each horizontal well track point and the stratum thickness;
the logging curve module is used for determining a logging curve of the target interval according to the logging response value of the track point;
the logging response value calculation module calculates according to the following formula:
wherein L is the detection distance of the logging instrument, Y is the response value of the logging curve on each horizontal well track point, xn is the attribute value corresponding to each of the 1 st detection horizon to the n th detection horizon according to the set sequence in the detection distance range, and Ln is the stratum thickness corresponding to each of the 1 st detection horizon to the n th detection horizon in the detection distance range.
4. The system of claim 3, wherein the stratigraphic model divides the stratigraphic into different layers according to a squaring standard curve, each layer having a stratigraphic thickness and attribute value.
5. An electronic device, the electronic device comprising: the device comprises a data acquisition device, a processor and a memory;
the data acquisition device is used for acquiring data; the memory is used for storing one or more program instructions; the processor being configured to execute one or more program instructions for performing the method of any of claims 1-2.
6. A computer readable storage medium, characterized in that the computer storage medium contains one or more program instructions for performing the method according to any of claims 1-2.
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| CN113221219B (en) * | 2021-05-08 | 2023-09-01 | 北京金阳普泰石油技术股份有限公司 | Construction method and system of adjacent well construction section in horizontal well target design |
| CN116070390B (en) * | 2021-10-29 | 2023-11-21 | 大庆油田有限责任公司 | Oilfield geological data processing method and processing device |
| CN115577569B (en) * | 2022-11-18 | 2023-04-07 | 中国科学技术大学先进技术研究院 | Method, device, equipment and medium for constructing logging interpretation reference model |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104775811A (en) * | 2015-04-13 | 2015-07-15 | 中国海洋石油总公司 | Stratum anisotropy information extracting and correcting method and system |
| CN105114063A (en) * | 2015-08-04 | 2015-12-02 | 中国石油大学(华东) | Inclined-well dual laterolog curve correction method |
| AU2015258216A1 (en) * | 2010-12-30 | 2015-12-03 | Schlumberger Technology B.V. | System and method for performing downhole stimulation operations |
| CN105317431A (en) * | 2014-07-30 | 2016-02-10 | 中国石油化工股份有限公司 | Method for explaining and evaluating logging parameters of horizontal well |
| CN106154322A (en) * | 2016-08-02 | 2016-11-23 | 中国石油天然气集团公司 | Log curve correction method and apparatus |
| CN106324689A (en) * | 2016-06-24 | 2017-01-11 | 杭州迅美科技有限公司 | Resistivity anisotropy recognition method in horizontal well stratum environment |
| CN106522919A (en) * | 2016-11-07 | 2017-03-22 | 中国石油大学(北京) | Three-detector density logging surrounding rock correcting method and device |
| CN107045154A (en) * | 2017-02-08 | 2017-08-15 | 中国海洋石油总公司 | A kind of method and apparatus of identification attitude of stratum in horizontal well environment |
| CN110685600A (en) * | 2018-06-20 | 2020-01-14 | 中国石油化工股份有限公司 | Drill bit adjustment prediction method for geosteering |
-
2020
- 2020-07-15 CN CN202010681394.7A patent/CN111985081B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2015258216A1 (en) * | 2010-12-30 | 2015-12-03 | Schlumberger Technology B.V. | System and method for performing downhole stimulation operations |
| CN105317431A (en) * | 2014-07-30 | 2016-02-10 | 中国石油化工股份有限公司 | Method for explaining and evaluating logging parameters of horizontal well |
| CN104775811A (en) * | 2015-04-13 | 2015-07-15 | 中国海洋石油总公司 | Stratum anisotropy information extracting and correcting method and system |
| CN105114063A (en) * | 2015-08-04 | 2015-12-02 | 中国石油大学(华东) | Inclined-well dual laterolog curve correction method |
| CN106324689A (en) * | 2016-06-24 | 2017-01-11 | 杭州迅美科技有限公司 | Resistivity anisotropy recognition method in horizontal well stratum environment |
| CN106154322A (en) * | 2016-08-02 | 2016-11-23 | 中国石油天然气集团公司 | Log curve correction method and apparatus |
| CN106522919A (en) * | 2016-11-07 | 2017-03-22 | 中国石油大学(北京) | Three-detector density logging surrounding rock correcting method and device |
| CN107045154A (en) * | 2017-02-08 | 2017-08-15 | 中国海洋石油总公司 | A kind of method and apparatus of identification attitude of stratum in horizontal well environment |
| CN110685600A (en) * | 2018-06-20 | 2020-01-14 | 中国石油化工股份有限公司 | Drill bit adjustment prediction method for geosteering |
Non-Patent Citations (3)
| Title |
|---|
| Logging identification and characteristic analysis of marineecontinental transitional organic-rich shale in the Carboniferous-Permian strata, Bohai Bay Basin;Jianhua He等;Marine and Petroleum Geology;第70卷;第273-293页 * |
| 一种薄层密度测井校正方法;程昆;程仲;吴文彦;;测井技术;第31卷(第06期);第537-540页 * |
| 基于钟形函数的自然伽马测井响应;彭琥;测井技术;第27卷(第06期);第449-455页 * |
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