CN112485843A - Prediction method, device and equipment for overflow layer in gypsum rock - Google Patents

Prediction method, device and equipment for overflow layer in gypsum rock Download PDF

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CN112485843A
CN112485843A CN201910863105.2A CN201910863105A CN112485843A CN 112485843 A CN112485843 A CN 112485843A CN 201910863105 A CN201910863105 A CN 201910863105A CN 112485843 A CN112485843 A CN 112485843A
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well
overflow layer
area
developed
overflow
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吴超
周鹏
莫涛
朱文慧
朱婧
周露
尚江伟
陈维力
胡春雷
蒋俊
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Petrochina Co Ltd
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Petrochina Co Ltd
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    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
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Abstract

The invention provides a method, a device and equipment for predicting an overflow layer in a gypsum rock, wherein the method comprises the steps of identifying the overflow layer of a gypsum rock area to be developed according to at least one well-drilling logging information and/or well-logging curve to obtain at least one well-drilling identification result, wherein the identification result is used for indicating whether the overflow layer exists in a detection area of each well-drilling well, forming a grading identification chart of the overflow layer according to the identification result, the well-logging curve and the engineering complexity, and then obtaining the overflow layer prediction result of the gypsum rock area to be developed according to the identification result, pre-obtained seismic wavelets, the well-logging curve and the grading identification chart, so that the accurate prediction of the overflow layer is realized, the safe drilling of the gypsum rock stratum is ensured, and the engineering risk is avoided.

Description

Prediction method, device and equipment for overflow layer in gypsum rock
Technical Field
The embodiment of the invention relates to the field of oil and gas exploration and development, in particular to a method, a device and equipment for predicting an overflow layer in a gypsum rock.
Background
During the drilling process of the paste rock stratum, the mud rock stratum with strong shaping or the thin dolomite stratum can be drilled and overflow occurs, so that engineering complexity of different degrees is caused.
The overflow layer is usually a local low-speed closed body, and the existence of the overflow layer in scale has certain influence on the implementation of the speed field and the trap. At present, an identification method for a high-pressure overflow layer in a paste-salt rock stratum mainly identifies data acquired in a well drilling process through well logging, but cannot identify an area without a well drilling, so that leakage or overflow often occurs in the identification process, and engineering complexity cannot be effectively controlled.
Disclosure of Invention
The embodiment of the invention provides a prediction method, a prediction device and prediction equipment of a cream salt rock internal overflow layer, which are used for improving the prediction accuracy of the cream salt rock internal overflow layer.
In a first aspect, the present invention provides a method for predicting an overflow layer in a gypsum rock, including:
identifying an overflow layer of a shale area to be developed according to at least one well logging information and/or a well logging curve to obtain an identification result of at least one well, wherein the identification result is used for indicating whether the overflow layer exists in a detection area of each well;
forming a grading identification chart of an overflow layer according to the identification result, the logging curve and the engineering complexity, wherein the engineering complexity represents abnormal conditions occurring in the drilling process;
and acquiring the overflow layer prediction result of the shale area to be developed according to the identification result, the pre-acquired seismic wavelets, the logging curve and the grading identification chart.
In a specific implementation manner, the obtaining, according to the recognition result, the pre-obtained seismic wavelet, the well log, and the hierarchical recognition chart, a prediction result of an overflow layer of the shale area to be developed includes:
according to the identification result and the grading identification chart, synthesizing seismic channels for horizon calibration based on the pre-obtained seismic wavelets and the logging curves of the at least one drilling well to obtain a single-well wave impedance model of the at least one drilling well;
correcting to obtain a three-dimensional wave impedance model of the shale area to be developed according to the single-well wave impedance model of the at least one well; the three-dimensional wave impedance model is used for representing the prediction result of the overflow layer of the shale area to be developed, and comprises the following steps: the extent of distribution and/or pressure rating of each overflow layer.
Optionally, before the identifying the overflow layer of the soft rock area to be developed according to the logging information and the logging curve of the at least one drilling well to obtain the identification result of the at least one drilling well, the method further includes:
depicting the distribution range of the shale area to be developed according to at least one of seismic data, regional exploratory well data and field outcrop data;
and establishing a sedimentary sequence of the gypsum rock area to be developed according to the area exploratory well data and the logging data in the distribution range of the gypsum rock area to be developed.
Optionally, the prediction result of the overflow layer of the shale area to be developed includes: at least one of a strong overflow layer, a medium overflow layer and a weak overflow layer.
In a second aspect, the present invention provides a prediction device for a overflow layer in a gypsum rock, comprising:
the processing module is used for identifying an overflow layer of a shale area to be developed according to at least one well logging information and/or a well logging curve to obtain an identification result of at least one well, wherein the identification result is used for indicating whether the overflow layer exists in a detection area of each well;
the processing module is further used for forming a grading identification chart of an overflow layer according to the identification result, the logging curve and the engineering complexity, wherein the engineering complexity represents an abnormal condition occurring in the drilling process;
and the acquisition module is used for acquiring the overflow layer prediction result of the shale area to be developed according to the identification result, the pre-acquired seismic wavelets, the logging curve and the grading identification chart.
In a specific implementation manner, the obtaining module is specifically configured to:
according to the identification result and the grading identification chart, synthesizing seismic channels for horizon calibration based on the pre-obtained seismic wavelets and the logging curves of the at least one drilling well to obtain a single-well wave impedance model of the at least one drilling well;
correcting to obtain a three-dimensional wave impedance model of the shale area to be developed according to the single-well wave impedance model of the at least one well; the three-dimensional wave impedance model is used for representing the prediction result of the overflow layer of the shale area to be developed, and comprises the following steps: the extent of distribution and/or pressure rating of each overflow layer.
Optionally, the processing module is further configured to:
depicting the distribution range of the shale area to be developed according to at least one of seismic data, regional exploratory well data and field outcrop data;
and establishing a sedimentary sequence of the gypsum rock area to be developed according to the area exploratory well data and the logging data in the distribution range of the gypsum rock area to be developed.
Optionally, the prediction result of the overflow layer of the shale area to be developed includes: at least one of a strong overflow layer, a medium overflow layer and a weak overflow layer.
In a third aspect, the present invention provides an overflow layer prediction apparatus, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of predicting a freeboard overflow layer as described in the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium, having stored thereon computer-executable instructions, which, when executed by a processor, implement the method for predicting the overflow layer of the gypsum rock according to the first aspect.
According to the prediction method of the overflow layer in the gypsum rock, provided by the embodiment of the invention, according to at least one well logging information and/or well logging curve, identifying an overflow layer of a shale area to be developed to obtain an identification result of the at least one drilling well, wherein the identification result is used for indicating whether the overflow layer exists in a detection area of each drilling well, and according to the identification result, the logging curve and the engineering complexity, a graded identification plate of the overflow layer is formed, the engineering complexity represents abnormal conditions occurring in the drilling process, and then the overflow layer prediction result of the gypsum rock area to be developed is obtained according to the recognition result, the pre-obtained seismic wavelet, the logging curve and the classification recognition chart, so that the accurate prediction of the overflow layer is realized, the safe drilling of the gypsum rock stratum is ensured, the engineering risk is avoided, and the implementation precision of the trap is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a first embodiment of a method for predicting a cream rock overflow layer according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a prediction result of an overflow layer of a new shale area to be developed according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a second embodiment of a method for predicting a mudstone overflow layer according to the present invention;
FIG. 4 is a schematic flow chart of a third embodiment of a method for predicting a stratite overflow layer according to the present invention;
fig. 5 is a schematic flow chart of a fourth embodiment of a method for predicting a cream rock overflow layer according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a first prediction apparatus for an overflow layer in a gypsum rock according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a hardware structure of an overflow layer prediction apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The execution main body of the scheme is overflow layer prediction equipment used for realizing a prediction method of a cream salt rock inner overflow layer, the cream salt rock stratum, especially the special lithologic bodies such as plastic mudstone, dolomite and the like are normally developed in the thick cream salt rock stratum, and in the drilling process, engineering complexity of different degrees such as drilling sticking, overflow and the like can be frequently generated, through the scheme, the cream salt rock inner overflow layer is identified, evaluated and predicted before drilling, the drilling fluid density is timely adjusted according to the prediction result and the actual drilling condition in the drilling process, the engineering complexity is effectively reduced, the thick cream salt rock is mainly a high-speed field distribution area on an earthquake section, the overflow layer in the thick cream salt rock is mainly a low-speed field distribution area of different degrees, and the distribution of the plastic mudstone of different levels can cause certain influence on the distribution, prediction and scale of oil-gas reservoir trapping of the whole stratum, through the scheme, the implementation precision of the trap is effectively improved. This scheme is illustrated in detail below by means of several specific examples.
Fig. 1 is a schematic flow chart of a first embodiment of a method for predicting a cream salt rock inner overflow layer according to an embodiment of the present invention, and as shown in fig. 1, the method for predicting a cream salt rock inner overflow layer specifically includes the following steps:
s101: and identifying the overflow layer of the shale area to be developed according to the logging information and the logging curve of at least one well to obtain the identification result of at least one well.
The identification is used to indicate whether an overflow layer is present in the detection area of each well.
In the scheme, a plurality of drilling wells are configured in a to-be-developed gypsum rock area, and at least one drilling well is selected to identify an overflow layer, so that it can be understood that when the number of the selected drilling wells is larger, the prediction of the overflow layer in the gypsum rock is more accurate, and meanwhile, the risk of the drilling wells encountering the overflow layer is increased, so that more accurate prediction results of the overflow layer can be obtained by selecting a reasonable number of drilling wells and reasonable positions in the gypsum rock area, and fig. 2 is a schematic diagram of the prediction results of the overflow layer of the to-be-developed gypsum rock area, provided by the embodiment of the present invention, for example, an example shown in fig. 2, and B #, D #, and F # drilling wells are selected to participate in prediction among a #, B #, C #, D #, E # and F # drilling wells.
First, logging information and a log of at least one well is obtained. Wherein, the logging information includes: 1. drilling leakage and overflow phenomena, 2, ion contents of chloride ions, calcium ions, magnesium ions and the like in the drilling process; the well log includes: natural gamma, resistivity, acoustic moveout, etc.
In the step, according to the obtained logging information and logging curve of at least one drilling well, identifying an overflow layer of a mudstone area to be developed, and obtaining whether the overflow layer exists in each drilling well or whether a potential overflow layer exists through identification, so that the identification result of at least one drilling well is obtained.
Specifically, during the drilling process, if the overflow layer is not drilled, the existence of the potential overflow layer can be identified through well logging curve analysis. If the drilling meets the overflow layer, the logging information can be analyzed, for example, if the liquid level of the mud of the logging rises, it represents that the drilling loss or overflow exists, that is, the overflow layer exists in the drilling area, and correspondingly, if the content of the chloride ions is reduced and the content of the calcium ions and the magnesium ions is increased during the drilling process, the overflow layer exists in the drilling area. Further, the recognition result can be obtained through the common analysis of the logging information and the logging curve.
Generally, mudstone in a argillaceous rock area shows plastic characteristics due to low compaction degree, pore water cannot be removed to cause local high pressure, and drilling can cause overflow due to pressure imbalance; the compaction of dolomite in a thick gypsum rock formation is slowed down, so that the dolomite has good storage capacity generally, a large-scale high-pressure water layer is easy to form, and once drilling is met, an overflow phenomenon with different scales often occurs.
S102: and forming a grading identification chart of the overflow layer according to the identification result, the well logging curve and the engineering complexity.
Wherein the engineering complexity represents an abnormal situation occurring during drilling.
The identification result comprises the condition whether an overflow layer exists in each drilling area, and under the condition that whether the overflow layer exists in each drilling area is clear, a junction map of the overflow layer in the paste rock area is established according to a well logging curve, such as the sound wave time difference, the depth lateral resistivity, the natural gamma, the density, the neutron, the triaxial stress and the like of the drilling, a grading identification map of the overflow layer is formed by combining the engineering complexity of leakage, overflow and the like, and the compaction degree of mud rock, the reservoir physical property of dolomite and the like and the pressure distribution condition are achieved.
S103: and acquiring the prediction result of the overflow layer of the shale area to be developed according to the identification result, the pre-acquired seismic wavelets, the well logging curve and the classification identification chart.
In this step, under the condition that whether an overflow layer exists in each well drilling area in the identification result is determined, according to the seismic wavelet and the well logging curve which are obtained in advance, under the constraint of a hierarchical identification plate, an overflow layer prediction result of a to-be-developed gypsum rock area is obtained, and the overflow layer prediction result of the to-be-developed gypsum rock area comprises: at least one of a strong overflow layer, a medium overflow layer, and a weak overflow layer, it being understood that there are generally multiple degrees of overflow in the region of the shale rock to be developed, such as shown in fig. 2, with the presence of the strong overflow layer, the medium overflow layer, and the weak overflow layer.
The seismic wavelets are previously extracted from the seismic data, which is also previously acquired data.
According to the prediction method of the overflow layer in the gypsum rock, provided by the embodiment of the invention, according to at least one well logging information and/or well logging curve, identifying an overflow layer of a shale area to be developed to obtain an identification result of the at least one drilling well, wherein the identification result is used for indicating whether the overflow layer exists in a detection area of each drilling well, and according to the identification result, the logging curve and the engineering complexity, a graded identification plate of the overflow layer is formed, the engineering complexity represents abnormal conditions occurring in the drilling process, and then the overflow layer prediction result of the gypsum rock area to be developed is obtained according to the recognition result, the pre-obtained seismic wavelet, the logging curve and the classification recognition chart, so that the accurate prediction of the overflow layer is realized, the safe drilling of the gypsum rock stratum is ensured, the engineering risk is avoided, and the implementation precision of the trap is improved.
On the basis of the embodiment shown in fig. 1, fig. 3 is a schematic flow chart of a second embodiment of the method for predicting the overflow layer in the soft rock according to the embodiment of the present invention, and as shown in fig. 3, the method for obtaining the prediction result of the overflow layer in the soft rock area to be developed according to the recognition result, the pre-obtained seismic wavelets, the well log and the hierarchical recognition template includes the following steps:
s201: and synthesizing seismic channels for horizon calibration according to the recognition result and the grading recognition chart and based on the pre-acquired seismic wavelets and at least one well-drilling logging curve to obtain at least one well-drilling single-well wave impedance model.
In the step, under the condition that whether an overflow layer exists in each well drilling area in the identification result is determined, under the constraint of a hierarchical identification chart, a horizon calibration is carried out on a synthetic seismic channel on the basis of pre-obtained seismic wavelets and at least one well drilling logging curve, and at least one well drilling single well wave impedance model is finally obtained by establishing a time-depth relation of each well drilling.
S202: and correcting to obtain a three-dimensional wave impedance model of the shale area to be developed according to at least one single well wave impedance model of the well.
The three-dimensional wave impedance model is used for representing the prediction result of the overflow layer of the shale area to be developed, and comprises the following steps: the distribution range and/or the pressure grade of each overflow layer comprise at least one of a strong overflow layer, a medium overflow layer and a weak overflow layer.
The method comprises the steps of carrying out well connection analysis on at least one established single well wave impedance model of a well, comparing the well connection analysis with seismic profiles of actual seismic data, ensuring that the positions of all wells are calibrated and lithological in one-to-one correspondence, repeatedly correcting, and ensuring that the inversion result of a to-be-developed gypsum salt rock area is reasonable, so that a three-dimensional wave impedance model of the to-be-developed gypsum salt rock area is formed, further, converting a conventional seismic profile into a rock phase inversion profile by constraining the inverted three-dimensional wave impedance model through well logging curves such as natural gamma rays, acoustic wave time differences and the like, and defining high-pressure overflow layers under different scales and pressure coefficients through well logging information of a drilled overflow layer.
In the embodiment, according to the recognition result and the grading recognition chart, a seismic channel is synthesized to carry out horizon calibration based on the pre-obtained seismic wavelets and at least one well-drilling logging curve, so that at least one well-drilling single well wave impedance model is obtained, and a three-dimensional wave impedance model of a to-be-developed gypsum rock area is obtained by correction according to the at least one well-drilling single well wave impedance model, wherein the three-dimensional wave impedance model is used for representing overflow layer information of the to-be-developed gypsum rock area, and comprises the distribution range and/or the pressure grade of each overflow layer, so that the accurate prediction of the overflow layer of the to-be-developed gypsum rock area is realized.
On the basis of the foregoing embodiment, fig. 4 is a schematic flow chart of a third embodiment of the method for predicting an overflow layer in a soft rock according to the embodiment of the present invention, as shown in fig. 4, before identifying an overflow layer of a soft rock area to be developed according to at least one well logging information and a well logging curve to obtain an identification result of the at least one well, the method further includes the following steps:
s301: and describing the distribution range of the shale area to be developed according to at least one of seismic data, regional exploratory well data and field outcrop data.
In the step, the distribution range of a shale area to be developed is carved according to geological analysis of seismic data, area well exploration data and field outcrop data; or the distribution range of the salt lake is marked, and the salt lake can develop a huge thick paste salt rock stratum which is a good regional cover layer.
The distribution of the overflow layer is usually related to the distribution of the gypsum rock, the overflow layer is more easily generated when the thickness of the gypsum rock is larger during deposition, and the thickness of the gypsum rock is more than 500m generally.
S302: and establishing a sedimentary sequence of the gypsum rock area to be developed according to the area exploratory well data and the logging data in the distribution range of the gypsum rock area to be developed.
According to the obtained logging (such as rock debris, rock core, drilling time, drilling pressure), logging (natural gamma ray, resistivity, acoustic time difference and the like) and other data in the regional exploration well data, a sedimentary sequence suitable for the gypsum rock region is established, and an exemplary sedimentary sequence from top to bottom in the gypsum rock region is as follows: salt rock-gypsum-dolomite-mudstone.
In this embodiment, the distribution range of the shale shaker area to be developed is described according to at least one of seismic data, area exploratory well data and field outcrop data, and a sedimentary sequence of the shale shaker area to be developed is established according to the area exploratory well data and the logging data within the distribution range of the shale shaker area to be developed, so as to provide a basis for subsequently identifying, evaluating and predicting an overflow layer of the shale shaker area.
On the basis of the foregoing embodiment, fig. 5 is a schematic flow chart of a fourth embodiment of the method for predicting a cream salt rock internal overflow layer according to the embodiment of the present invention, as shown in fig. 5, in a specific implementation manner, another expression is performed on the method for predicting a cream salt rock internal overflow layer:
and analyzing the address of the seismic data, the field outcrop data and the regional exploration data. Depicting the range of the salt lake; within the range of the described salt lake, describing formation sedimentary sequence of the paste salt rock; on the basis, according to at least one well logging information and/or well logging curve of a well, identifying an overflow layer of a shale area to be developed; and according to at least one well logging, ground stress and well drilling engineering complexity in the well drilling process, forming a grading identification chart of the overflow layer, namely evaluating the overflow layer; based on a graded identification chart of an overflow layer, obtaining at least one single well wave impedance model of the well drilling according to an identification result, the pre-obtained seismic wavelets and the well logging curve; correcting to obtain a three-dimensional wave impedance model of a shale area to be developed according to at least one single-well wave impedance model of the well; converting the conventional seismic profile into a rock reverse modeling profile through a three-dimensional wave impedance model; and then the prediction result of the overflow layer is obtained.
Fig. 6 is a schematic structural diagram of a first prediction apparatus for a overflow layer in a soft rock according to an embodiment of the present invention, and as shown in fig. 6, the prediction apparatus 10 for a overflow layer in a soft rock includes:
the processing module 11 is configured to identify an overflow layer of a shale area to be developed according to at least one well logging information and/or a well logging curve of a well to obtain an identification result of the at least one well, where the identification result is used to indicate whether an overflow layer exists in a detection area of each well;
the processing module 11 is further configured to form a hierarchical identification chart of an overflow layer according to the identification result, the well logging curve and the engineering complexity, where the engineering complexity represents an abnormal situation occurring in a drilling process;
and the obtaining module 12 is configured to obtain the overflow layer prediction result of the shale area to be developed according to the identification result, the pre-obtained seismic wavelet, the logging curve and the hierarchical identification chart.
The prediction device 10 for a cream rock overflow layer provided in this embodiment includes: a processing module 11 and an acquisition module 12. According to at least one well logging information and/or well logging curve of a well, identifying an overflow layer of a gypsum rock area to be developed to obtain an identification result of the well, wherein the identification result is used for indicating whether the overflow layer exists in a detection area of each well, and forming a grading identification chart of the overflow layer according to the identification result, the well logging curve and the engineering complexity, wherein the engineering complexity represents abnormal conditions occurring in the well drilling process, and then according to the identification result, the pre-obtained seismic wavelet, the well logging curve and the grading identification chart, obtaining a prediction result of the overflow layer of the gypsum rock area to be developed, so that the accurate prediction of the overflow layer is realized, the safe drilling of the gypsum rock stratum is ensured, the engineering risk is avoided, and the implementation precision of trap closure is improved.
In a specific implementation manner, the obtaining module 12 is specifically configured to:
according to the identification result and the grading identification chart, synthesizing seismic channels for horizon calibration based on the pre-obtained seismic wavelets and the logging curves of the at least one drilling well to obtain a single-well wave impedance model of the at least one drilling well;
correcting to obtain a three-dimensional wave impedance model of the shale area to be developed according to the single-well wave impedance model of the at least one well; the three-dimensional wave impedance model is used for representing the prediction result of the overflow layer of the shale area to be developed, and comprises the following steps: the extent of distribution and/or pressure rating of each overflow layer.
In a specific implementation manner, the processing module 11 is further configured to:
depicting the distribution range of the shale area to be developed according to at least one of seismic data, regional exploratory well data and field outcrop data;
and establishing a sedimentary sequence of the gypsum rock area to be developed according to the area exploratory well data and the logging data in the distribution range of the gypsum rock area to be developed.
In a specific implementation, the overflow layer prediction result of the shale area to be developed comprises: at least one of a strong overflow layer, a medium overflow layer and a weak overflow layer.
The device provided in this embodiment may be used to implement the technical solution of the above method embodiment, and the implementation principle and technical effect are similar, which are not described herein again.
Fig. 7 is a schematic diagram of a hardware structure of an overflow layer prediction apparatus according to an embodiment of the present invention. As shown in fig. 7, the overflow layer prediction apparatus 20 of the present embodiment includes: a processor 21 and a memory 22; a memory 22 for storing computer execution instructions;
the processor 21 is configured to execute the computer-executable instructions stored in the memory to implement the steps performed by the receiving device in the above embodiments. Reference may be made in particular to the description relating to the method embodiments described above.
Alternatively, the memory 22 may be separate or integrated with the processor 21.
When the memory 22 is provided separately, the overflow layer prediction apparatus further includes a bus 23 for connecting the memory 22 and the processor 21.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the method for predicting the overflow layer in the gypsum rock is implemented.
In the above Specific implementation of the storage capacity obtaining device, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: read-only memory (ROM), RAM, flash memory, hard disk, solid state disk, magnetic tape (magnetic tape), floppy disk (flexible disk), optical disk (optical disk), and any combination thereof.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A prediction method of a cream salt rock inner overflow layer is characterized by comprising the following steps:
identifying an overflow layer of a shale area to be developed according to at least one well logging information and/or a well logging curve to obtain an identification result of at least one well, wherein the identification result is used for indicating whether the overflow layer exists in a detection area of each well;
forming a grading identification chart of an overflow layer according to the identification result, the logging curve and the engineering complexity, wherein the engineering complexity represents abnormal conditions occurring in the drilling process;
and acquiring the overflow layer prediction result of the shale area to be developed according to the identification result, the pre-acquired seismic wavelets, the logging curve and the grading identification chart.
2. The method of claim 1, wherein obtaining the overflow layer prediction result of the shale area to be developed based on the recognition result, the pre-obtained seismic wavelets, the well log and the hierarchical recognition chart comprises:
according to the identification result and the grading identification chart, synthesizing seismic channels for horizon calibration based on the pre-obtained seismic wavelets and the logging curves of the at least one drilling well to obtain a single-well wave impedance model of the at least one drilling well;
correcting to obtain a three-dimensional wave impedance model of the shale area to be developed according to the single-well wave impedance model of the at least one well; the three-dimensional wave impedance model is used for representing the prediction result of the overflow layer of the shale area to be developed, and comprises the following steps: the extent of distribution and/or pressure rating of each overflow layer.
3. The method of claim 1 or 2, wherein before identifying the overburden of the mudstone region to be developed from the log information and the log of the at least one borehole to obtain the identification of the at least one borehole, the method further comprises:
depicting the distribution range of the shale area to be developed according to at least one of seismic data, regional exploratory well data and field outcrop data;
and establishing a sedimentary sequence of the gypsum rock area to be developed according to the area exploratory well data and the logging data in the distribution range of the gypsum rock area to be developed.
4. The method of claim 1 or 2, wherein the overflow layer prediction of the region of Mirabilite to be developed comprises: at least one of a strong overflow layer, a medium overflow layer and a weak overflow layer.
5. A prediction device for a mudstone overflow layer, comprising:
the processing module is used for identifying an overflow layer of a shale area to be developed according to at least one well logging information and/or a well logging curve to obtain an identification result of at least one well, wherein the identification result is used for indicating whether the overflow layer exists in a detection area of each well;
the processing module is further used for forming a grading identification chart of an overflow layer according to the identification result, the logging curve and the engineering complexity, wherein the engineering complexity represents an abnormal condition occurring in the drilling process;
and the acquisition module is used for acquiring the overflow layer prediction result of the shale area to be developed according to the identification result, the pre-acquired seismic wavelets, the logging curve and the grading identification chart.
6. The apparatus of claim 5, wherein the obtaining module is specifically configured to:
according to the identification result and the grading identification chart, synthesizing seismic channels for horizon calibration based on the pre-obtained seismic wavelets and the logging curves of the at least one drilling well to obtain a single-well wave impedance model of the at least one drilling well;
correcting to obtain a three-dimensional wave impedance model of the shale area to be developed according to the single-well wave impedance model of the at least one well; the three-dimensional wave impedance model is used for representing the prediction result of the overflow layer of the shale area to be developed, and comprises the following steps: the extent of distribution and/or pressure rating of each overflow layer.
7. The apparatus of claim 5 or 6, wherein the processing module is further configured to:
depicting the distribution range of the shale area to be developed according to at least one of seismic data, regional exploratory well data and field outcrop data;
and establishing a sedimentary sequence of the gypsum rock area to be developed according to the area exploratory well data and the logging data in the distribution range of the gypsum rock area to be developed.
8. The apparatus of claim 5 or 6, wherein the overflow layer prediction of the region of Mirabilite to be developed comprises: at least one of a strong overflow layer, a medium overflow layer and a weak overflow layer.
9. An overflow layer prediction apparatus, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of predicting a freeboard overflow formation of any of claims 1 to 4.
10. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the method of predicting the stratal rock overflow of any one of claims 1 to 4.
CN201910863105.2A 2019-09-12 2019-09-12 Prediction method, device and equipment for overflow layer in gypsum rock Pending CN112485843A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104133250A (en) * 2014-07-23 2014-11-05 中国石油集团川庆钻探工程有限公司 Gypsiferous salt stratum geological layering method
CN104808259A (en) * 2015-04-01 2015-07-29 中国石油天然气股份有限公司 Detection method and device of gypsum rock distribution
CN105510993A (en) * 2015-12-23 2016-04-20 中国石油大学(北京) Foreland basin deep buried and compressed type complex gypsum-salt rock identification and distribution prediction method
CN106368691A (en) * 2015-07-24 2017-02-01 中国石油化工股份有限公司 Method for predicting three-dimensional abnormal pore pressure based on rock physical seismic information

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104133250A (en) * 2014-07-23 2014-11-05 中国石油集团川庆钻探工程有限公司 Gypsiferous salt stratum geological layering method
CN104808259A (en) * 2015-04-01 2015-07-29 中国石油天然气股份有限公司 Detection method and device of gypsum rock distribution
CN106368691A (en) * 2015-07-24 2017-02-01 中国石油化工股份有限公司 Method for predicting three-dimensional abnormal pore pressure based on rock physical seismic information
CN105510993A (en) * 2015-12-23 2016-04-20 中国石油大学(北京) Foreland basin deep buried and compressed type complex gypsum-salt rock identification and distribution prediction method

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