CN114542057A - Method, device, equipment and medium for identifying fracturing fractures of hidden reservoir beside well - Google Patents

Method, device, equipment and medium for identifying fracturing fractures of hidden reservoir beside well Download PDF

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CN114542057A
CN114542057A CN202011364581.9A CN202011364581A CN114542057A CN 114542057 A CN114542057 A CN 114542057A CN 202011364581 A CN202011364581 A CN 202011364581A CN 114542057 A CN114542057 A CN 114542057A
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transverse wave
wave reflected
wave
fast
offset imaging
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刘鹏
武宏亮
李雨生
王克文
冯周
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Petrochina Co Ltd
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    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing 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
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/25Methods for stimulating production
    • E21B43/26Methods for stimulating production by forming crevices or fractures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/38Processing data, e.g. for analysis, for interpretation, for correction

Abstract

The embodiment of the invention provides a method, a device, equipment and a medium for identifying a fracturing fracture of a hidden reservoir beside a well, wherein the method comprises the following steps: acquiring transverse wave far detection logging data before logging and fracturing and transverse wave far detection logging data after fracturing; determining a plurality of groups of offset imaging of fast transverse wave reflected waves in different directions according to the far detection logging information of the transverse wave before fracturing; determining a first offset imaging slice with the most developed natural fracture from offset imaging of multiple groups of fast transverse wave reflected waves in different directions, wherein the first offset imaging slice comprises the development condition of the natural fracture; determining a plurality of groups of fast transverse wave reflected waves in different directions according to the fractured transverse wave far detection logging information; determining a fast transverse wave reflected wave with the strongest energy direction from a plurality of groups of fast transverse wave reflected waves with different directions, and generating offset imaging for the determined fast transverse wave reflected wave to obtain a second offset imaging slice; and identifying the development degree and the development orientation of the fracture according to the first offset imaging slice and the second offset imaging slice.

Description

Method, device, equipment and medium for identifying fracturing fractures of hidden reservoir beside well
Technical Field
The invention relates to the technical field of seismic exploration, in particular to a method, a device, equipment and a medium for identifying a fracturing crack of a hidden reservoir beside a well.
Background
The conventional array acoustic logging can be used for effectively evaluating reservoir information near a well wall (within 3 meters generally), has the advantage of high vertical resolution, cannot identify a hidden crack reservoir far away from the well wall, has the problem of low resolution while having the advantage of wide detection range in seismic exploration, and is not designed for both small-scale reservoirs deep in the stratum. The first generation of monopole compressional wave far detection extended the detection depth of sonic logging to 10 meters beside the well, but could not determine the development orientation of fracture reflectors. The new generation of dipole transverse wave far detection technology determines the development orientation of a crack through dipole sound source emission and four-component detector reception, reduces the main frequency of a sound source from about 8kHz to 3kHz, and simultaneously extends the detection depth to 24 meters (instrument XMAC-II) and 40 meters (instrument XMAC-F1) further, but the detection depth is still limited.
With the deepening of the exploration and development degree of each oil field block, the reservoir develops towards the direction of concealment and deterioration gradually, and the fracturing modification of the reservoir and the evaluation of the fracture reservoir beside the well become the key of increasing the storage and the production. However, none of the existing methods can identify the development of the fracturing fracture around the well.
Disclosure of Invention
The embodiment of the invention provides a method for identifying fracturing fractures of a hidden reservoir beside a well, which aims to solve the technical problem that the development condition of the fracturing fractures around the well cannot be identified in the prior art. The method comprises the following steps:
acquiring pre-fracturing transverse wave far detection logging information and post-fracturing transverse wave far detection logging information of logging;
determining a plurality of groups of offset imaging of fast transverse wave reflected waves in different directions according to the far detection logging information of the transverse wave before fracturing;
determining a first offset imaging slice with the most developed natural fracture from offset imaging of multiple groups of fast transverse wave reflected waves in different directions, wherein the first offset imaging slice comprises the development condition of the natural fracture;
determining a plurality of groups of fast transverse wave reflected waves in different directions according to the fractured transverse wave far detection logging information;
determining a fast transverse wave reflected wave with the strongest energy direction from a plurality of groups of fast transverse wave reflected waves with different directions, and generating offset imaging for the determined fast transverse wave reflected wave to obtain a second offset imaging slice;
identifying a degree of development and a development orientation of a fracture from the first and second offset imaging slices.
The embodiment of the invention also provides a device for identifying the fracturing fractures of the hidden reservoir beside the well, which is used for solving the technical problem that the development condition of the fracturing fractures around the well cannot be identified in the prior art. The device includes:
the logging data acquisition module is used for acquiring logging data of pre-fracturing transverse wave far detection and logging data of post-fracturing transverse wave far detection;
the offset imaging module is used for determining offset imaging of a plurality of groups of fast transverse wave reflected waves in different directions according to the far detection logging information of the transverse wave before fracturing;
the first offset imaging slice determining module is used for determining a first offset imaging slice with the most developed natural fracture from offset imaging of multiple groups of fast transverse wave reflected waves in different directions, wherein the first offset imaging slice comprises the development condition of the natural fracture;
the multi-group fast transverse wave reflected wave determining module is used for determining a plurality of groups of fast transverse wave reflected waves in different directions according to the fractured transverse wave far detection logging data;
the second offset imaging slice determining module is used for determining the fast transverse wave reflected wave with the strongest energy position from a plurality of groups of fast transverse wave reflected waves with different positions, and generating offset imaging for the determined fast transverse wave reflected wave to obtain a second offset imaging slice;
and the fracture identification module is used for identifying the development degree and the development direction of the fracture according to the first offset imaging slice and the second offset imaging slice.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can be run on the processor, wherein the processor realizes the arbitrary method for identifying the fracturing fractures of the hidden reservoir beside the well when executing the computer program so as to solve the technical problem that the development condition of the fracturing fractures around the well cannot be identified in the prior art.
The embodiment of the invention also provides a computer readable storage medium, which stores a computer program for executing the above arbitrary method for identifying the fracturing fractures of the hidden reservoir beside the well, so as to solve the technical problem that the development condition of the fracturing fractures around the well cannot be identified in the prior art.
In the embodiment of the invention, the well logging information of far detection of transverse wave before fracturing and the well logging information of far detection of transverse wave after fracturing are obtained, a plurality of groups of offset images of fast transverse wave reflected waves in different directions are obtained by processing based on the well logging information of far detection of transverse wave before fracturing, and then a first offset imaging slice with the most developed natural crack is determined from the offset images of the fast transverse wave reflected waves in different directions, the cracks displayed by the first offset imaging slice are all natural cracks, meanwhile, a plurality of groups of fast transverse wave reflected waves in different directions are obtained by processing based on the well logging information of far detection of transverse wave after fracturing, and then the fast transverse wave reflected wave in the direction with the strongest energy is determined from the plurality of groups of fast transverse wave reflected waves in different directions, the determined fast transverse wave reflected waves are generated into offset imaging to obtain a second offset imaging slice, the cracks displayed by the second offset imaging slice can be natural cracks, and the fracture can also be a fractured fracture, so that the fractured fracture can be identified through combination and comparison of the first offset imaging slice and the second offset imaging slice, and the development degree and development direction of the fractured fracture can be identified.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flow chart of a method for identifying a fracturing fracture of a hidden reservoir beside a well according to an embodiment of the invention;
FIG. 2 is a schematic diagram illustrating the process and results of extracting reflected shear waves from far-transverse-wave-detection logging data before fracturing of an X-well according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of fast transverse wave reflected waveforms in different directions before an X-well fracture is provided according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a fast transverse wave reflected waveform of the strongest energy and weakest azimuth after the X-well is fractured according to an embodiment of the present invention;
FIG. 5 is a comparison of pre-and post-frac fast shear wave reflected off-set imaging slices according to embodiments of the present invention;
FIG. 6 is a schematic structural diagram of a computer device according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a near-well hidden reservoir fracturing fracture identification device provided by an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In an embodiment of the present invention, a method for identifying a near-well hidden reservoir fracture is provided, as shown in fig. 1, the method includes:
step 102: acquiring pre-fracturing transverse wave far detection logging information and post-fracturing transverse wave far detection logging information of logging;
step 104: determining a plurality of groups of offset imaging of fast transverse wave reflected waves in different directions according to the far detection logging information of the transverse wave before fracturing;
step 106: determining a first offset imaging slice with the most developed natural fracture from offset imaging of multiple groups of fast transverse wave reflected waves in different directions, wherein the first offset imaging slice comprises the development condition of the natural fracture;
step 108: determining a plurality of groups of fast transverse wave reflected waves in different directions according to the fractured transverse wave far detection logging information;
step 110: determining a fast transverse wave reflected wave with the strongest energy direction from a plurality of groups of fast transverse wave reflected waves with different directions, and generating offset imaging for the determined fast transverse wave reflected wave to obtain a second offset imaging slice;
step 112: identifying a degree of development and a development orientation of a fracture from the first and second offset imaging slices.
It can be known from the process shown in fig. 1 that, in the embodiment of the present invention, a method is provided for obtaining pre-fracture transverse wave far detection logging data and post-fracture transverse wave far detection logging data of logging, processing is performed based on the pre-fracture transverse wave far detection logging data to obtain offset images of multiple groups of fast transverse wave reflected waves in different directions, and then a first offset imaging slice with the most developed natural crack is determined from the offset images of the multiple groups of fast transverse wave reflected waves in different directions, the cracks displayed by the first offset imaging slice are all natural cracks, meanwhile, processing is performed based on the post-fracture transverse wave far detection logging data to obtain multiple groups of fast transverse wave reflected waves in different directions, and then fast transverse wave reflected waves in the strongest direction of energy are determined from the multiple groups of fast transverse wave reflected waves in different directions, and the determined fast transverse wave reflected waves are generated into offset images to obtain a second offset imaging slice, the fracture displayed by the second offset imaging slice can be a natural fracture and also can be a fracturing fracture, so that the fracturing fracture can be identified through combination and comparison of the first offset imaging slice and the second offset imaging slice, and the development degree and the development direction of the fracturing fracture can be identified.
During specific implementation, for a certain well logging, transverse wave far detection well logging data collection is respectively carried out before fracturing and after fracturing so as to obtain transverse wave far detection well logging data before fracturing and transverse wave far detection well logging data after fracturing, usually, a multipole array acoustic logging instrument can be adopted for collection, and four-component dipole transverse wave waveforms in the collected data are transverse wave far detection original data. In addition, the acquisition data of the shear wave far detection logging data before fracturing also comprises an orientation curve of the acoustic logging instrument, and the orientation curve is used for determining the orientation of the acoustic logging instrument when the acoustic logging instrument rotates underground.
In specific implementation, after obtaining the far detection logging information of the shear wave before fracturing, determining the offset imaging of a plurality of groups of fast shear wave reflected waves in different directions according to the far detection logging information of the shear wave before fracturing, for example,
acquiring a four-component dipole shear wave reflected wave waveform according to the shear wave far detection logging data before fracturing;
determining a plurality of groups of fast transverse wave reflected wave waveforms in different directions according to an underground direction curve of the acoustic logging instrument and the four-component dipole transverse wave reflected wave waveforms, wherein adjacent direction groups are separated by a preset angle;
and respectively generating offset imaging for a plurality of groups of fast transverse wave reflected wave waveforms in different directions.
In specific implementation, a shear wave reflected wave stepped extraction method can be adopted to sequentially process shear wave far detection logging data before fracturing so as to obtain a four-component dipole shear wave reflected wave waveform. As shown in fig. 2, the method for extracting reflected transverse wave waves step by step mainly includes five steps of digital band-pass filtering, median filtering, inclined median filtering, amplitude recovery and superposition denoising, wherein the digital band-pass filtering aims at suppressing high-frequency burr noise and low-frequency baseline offset noise; the purpose of median filtering is to suppress borehole direct waves; the purpose of tilted median filtering is to suppress formation interfacial waves; the purpose of amplitude recovery is to recover far-away reflected wave signals outside the well; the purpose of superposition denoising is to enhance the reflected wave signal by carrying out common center point superposition on different receiver receiving waveforms.
As shown in fig. 2, the first trace is the depth trace (denoted by D) and the second trace is the YY component Waveform (WVYYO) in the original waveform of the four-component transverse wave. The third path is a digital band-pass filtered transverse wave Waveform (WVYY) which filters low-frequency Stoneley wave noise in the waveform; the fourth trace is the median filtered shear waveform (FKYY), suppressing borehole direct; the fifth path is a transverse wave waveform (SMYY) after inclined median filtering, and formation interface waves are suppressed; the sixth step is the amplitude-recovered shear wave waveform (IQFYY), and the reflected shear wave with a later arrival time can be observed to be displayed; the seventh path is to superpose the denoised YY component transverse wave reflected wave waveform (CYY), so that the direct wave signals of the participating transverse waves with earlier arrival time can be further suppressed, and the transverse wave reflected wave signals with later arrival time are clearer.
In specific implementation, the fast transverse wave reflected wave waveforms of multiple groups of different orientations can be determined according to the underground orientation curve of the acoustic logging instrument and the four-component transverse wave reflected wave waveforms, for example, the four-component dipole transverse wave reflected wave waveforms are converted to geodetic coordinates by using a vector rotation method according to the underground orientation curve of the acoustic logging instrument; and determining a plurality of groups of fast transverse wave reflected wave waveforms in different directions based on the four-component dipole transverse wave reflected wave waveforms on the geodetic coordinates.
Specifically, a vector rotation method is used for converting the four-component dipole transverse wave reflected waves to geodetic coordinates, namely a north-south direction and an east-west direction. The method is shown as the formula (1).
Figure BDA0002805052050000051
Wherein XX, XY, YX, YY represent four-component dipole transverse wave reflected wave waveform, XXN、XYN、YXN、YYNRepresenting the quarter dipole shear wave reflected waveform after being returned to the geodetic coordinates, and a representing the orientation of the sonic logging instrument downhole. For example, the preset angle between adjacent azimuth groups is 10 degrees, and for example, 18 groups of fast transverse wave reflected waves are obtained by vector rotation, as shown in equation (2).
SHβ=XXN cos2(β)-(XYN+YXN)cos(β)sin(β)+YYN sin2(β) (2)
In the formula (II)βRepresenting the reflection of the fast shear wave, beta representing the azimuth of the reflection of the fast shear wave, e.g. its value10 °, 20 °, …, 180 °.
In particular, fig. 3 illustrates two sets of fast-shear-wave reflected waveforms obtained by processing the pre-fracture four-component dipole shear-wave reflected waveforms illustrated in fig. 2. In FIG. 3, the first trace is the depth trace and the second trace is the north-south oriented fast shear wave reflection waveform (denoted by NS), where the middle vertical bar represents the borehole, the left side of the borehole is the upgoing reflection and the right side is the downgoing reflection. The third is the east-west going fast shear wave reflection (expressed as EW). By comparing the second and third traces, it can be found that there are significant effective reflected wave signals in the third trace, especially the uplink reflected wave near 7740m and the downlink transmitted wave near 7760m marked by a circle. This indicates that the effective reflection, i.e., the natural fracture, is predominantly in the east-west direction.
During specific implementation, on the basis of four-component dipole transverse wave reflected wave waveforms on geodetic coordinates, kirchhoff offset imaging can be performed in the process of determining offset imaging of multiple groups of fast transverse wave reflected wave waveforms in different directions, so that 18 groups of offset imaging slices of fast transverse wave reflected waves are obtained. Because the observation system of the well logging determines that the fast transverse wave reflected wave includes both the uplink reflected wave and the downlink reflected wave, the uplink and downlink wave separation needs to be performed by using a frequency wave number domain method before the offset imaging.
In specific implementation, after obtaining the fractured shear wave far detection logging information, determining multiple groups of fast shear wave reflected waves in different directions according to the fractured shear wave far detection logging information through the following steps, for example, obtaining a four-component shear wave reflected wave waveform according to the fractured shear wave far detection logging information; and processing the four-component shear wave reflected wave waveforms one by one at depth points to determine multiple groups of fast shear wave reflected waves in different directions.
In particular, because the post-fracture logging process is typically performed within a metal casing, the metal casing may render the sonic logging instrument azimuth measurement ineffective. At this time, the fast transverse wave reflected wave with the strongest energy of the reflector can not be obtained by adopting a data processing mode before fracturing. For this problem, the fractured four-component shear wave reflected waveforms and multiple sets of fast shear waves in different directions need to be processed one by one at depth points, for example, 18 sets of fast shear waves with 10-degree intervals are obtained, and a set of fast shear wave reflected waveforms with the strongest energy is selected from the obtained fast shear wave reflected waveforms, so as to obtain fast shear waves in the direction with the strongest energy in the whole processing depth section. The calculation start time and the calculation stop time need to be considered in the calculation process, and the calculation start time is generally set to be 5ms later, namely, the residual borehole direct wave oscillation time. And performing kirchhoff migration on the selected fast transverse wave reflected wave with the strongest energy to obtain migration imaging of the fast transverse wave reflected wave in the direction with the strongest energy, and further obtaining the second migration imaging slice.
Specifically, fig. 4 shows the fast transverse wave reflected wave waveforms of the direction with the strongest energy and the direction with the weakest energy obtained by processing transverse wave far detection logging information after the X-well fracturing. In fig. 4, the first trace is a depth trace, and the second trace is a fast transverse wave reflected wave (denoted by SH) in the direction with the strongest energy, wherein a significant reflected wave signal (shown as a circled portion) exists near 7760 m; the third trace is a fast transverse wave reflected wave (denoted by SV) in the weakest energy azimuth, where no significant reflected wave signal is found.
In specific implementation, the cracks displayed in the fast transverse wave reflected wave offset imaging slice (i.e. the first offset imaging slice) before fracturing are all natural cracks, and the development degree and the development azimuth of the natural cracks can be determined from the natural cracks; the fracture displayed in the offset imaging slice of the fast transverse wave reflected wave after fracturing (i.e. the second offset imaging slice) may be a natural fracture or a fracture. Through the fast transverse wave reflected wave migration imaging section before and after the contrast fracturing, the development condition of the fracturing crack in the fast transverse wave reflected wave migration imaging section after the fracturing can be identified, including development degree and development direction. As shown in fig. 5, the third and fourth traces in fig. 5 sequentially show the fast-reflected-wave offset imaging slice before fracturing and the fast-reflected-wave offset imaging slice after fracturing. By comparison, it can be seen that both slices exhibited a crack (as indicated by the solid line notation): the depth is around 7750m, at a radial distance of 20m from the borehole. The fractures are natural fractures, present in both the pre-and post-fracture offset imaging slices, and remain in place. In the post-fracture offset imaged slice, there are also multiple sets of fractures (as indicated by the dashed line markers) at the 7750-7760m locations that do not occur in the pre-fracture offset imaged slice. Thus, the fractures marked by these dashed lines are fracture fractures.
In specific implementation, the process of implementing the method for identifying the fracturing fracture of the hidden reservoir beside the well comprises the following steps:
step 1: collecting relevant logging data of a research block, wherein the logging data comprises pre-fracturing transverse wave far detection logging data and post-fracturing transverse wave far detection logging data;
step 2: processing transverse wave far detection logging data acquired before fracturing to obtain a four-component dipole transverse wave reflected wave waveform;
and step 3: processing the four-component dipole transverse wave reflected waves before fracturing by combining an instrument orientation curve to obtain 18 groups of fast transverse wave reflected wave waveforms at intervals of 10 degrees;
and 4, step 4: performing kirchhoff offset imaging on 18 groups of fast transverse wave reflected wave waveforms in sequence to obtain 18 groups of offset imaging slices in different directions, and selecting an azimuth slice (namely the first offset imaging slice) with the most developed natural crack from the 18 groups of offset imaging slices;
and 5: processing transverse wave far detection logging data acquired after fracturing to obtain four-component transverse wave reflected wave waveforms;
step 6: calculating fast transverse wave reflected waves with the strongest energy by depth points;
and 7: performing kirchhoff offset imaging on the fast transverse wave reflected wave with the highest energy to obtain a fast transverse wave offset imaging slice (namely the second offset imaging slice);
and 8: and comparing the fast transverse wave reflected wave offset imaging slice before fracturing with the fast transverse wave reflected wave offset imaging slice after fracturing, identifying a natural crack and a fracturing crack, and further determining the development condition of the fracturing crack.
In this embodiment, a computer device is provided, as shown in fig. 6, and includes a memory 602, a processor 604, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement any of the above methods for identifying a blind reservoir fracture at a well side.
In particular, the computer device may be a computer terminal, a server or a similar computing device.
In this embodiment, a computer readable storage medium is provided that stores a computer program that performs any of the above-described methods of downhole blind reservoir fracture identification.
In particular, computer-readable storage media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer-readable storage media 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 magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable storage medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
Based on the same inventive concept, the embodiment of the invention also provides a device for identifying the hidden reservoir fracturing fracture beside the well, which is described in the following embodiment. The method for identifying the hidden reservoir fracturing fractures near the well is characterized in that the principle of solving the problems of the hidden reservoir fracturing fracture identification device near the well is similar to that of the hidden reservoir fracturing fracture identification method near the well, so that the implementation of the hidden reservoir fracturing fracture identification device near the well can be referred to that of the hidden reservoir fracturing fracture identification method near the well, and repeated parts are not described again. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 7 is a structural block diagram of a near-well hidden reservoir fracture identification device according to an embodiment of the present invention, and as shown in fig. 7, the device includes:
a logging data obtaining module 702, configured to obtain pre-fracturing transverse wave far detection logging data and post-fracturing transverse wave far detection logging data of logging;
the offset imaging module 704 is used for determining offset imaging of a plurality of groups of fast transverse wave reflected waves in different directions according to the pre-fracturing transverse wave far detection logging data;
a first offset imaging slice determining module 706, configured to determine a first offset imaging slice in which a natural fracture develops most from offset imaging of multiple sets of fast transverse wave reflected waves in different orientations, where the first offset imaging slice includes a development condition of the natural fracture;
a multiple-group fast transverse wave reflected wave determining module 708, configured to determine multiple groups of fast transverse wave reflected waves in different directions according to the fractured far-detection logging data of transverse waves;
a second offset imaging slice determining module 710, configured to determine a fast transverse wave reflected wave in the direction with the strongest energy from multiple groups of fast transverse wave reflected waves in different directions, and generate an offset image from the determined fast transverse wave reflected wave to obtain a second offset imaging slice;
and a fracture identification module 712, configured to identify a development degree and a development orientation of the fracture according to the first offset imaging slice and the second offset imaging slice.
In one embodiment, the offset imaging module comprises:
the shear wave reflected wave waveform acquisition unit is used for acquiring a four-component shear wave reflected wave waveform according to the pre-fracturing shear wave far detection logging data;
the fast transverse wave reflected wave determining units are used for determining a plurality of groups of fast transverse wave reflected wave waveforms in different directions according to an underground direction curve of the acoustic logging instrument and the four-component transverse wave reflected wave waveforms, wherein the adjacent direction groups are separated by a preset angle;
and the offset imaging unit is used for respectively generating offset imaging for a plurality of groups of fast transverse wave reflected wave waveforms in different directions.
In one embodiment, the multiple sets of fast shear wave reflected wave determining units are specifically used for converting the four-component shear wave reflected wave waveforms to geodetic coordinates by using a vector rotation method according to an azimuth curve of the acoustic logging instrument in a well; and determining a plurality of groups of fast transverse wave reflected wave waveforms in different directions based on four-component transverse wave reflected wave waveforms on the geodetic coordinates.
In one embodiment, the multiple groups of fast transverse wave reflected wave determining modules are specifically configured to obtain four-component transverse wave reflected wave waveforms according to the fractured transverse wave far detection logging data; and processing the four-component shear wave reflected wave waveforms one by one at depth points to determine multiple groups of fast shear wave reflected waves in different directions.
The embodiment of the invention realizes the following technical effects: the method comprises the steps of obtaining pre-fracturing transverse wave far detection logging information and post-fracturing transverse wave far detection logging information of logging, processing the pre-fracturing transverse wave far detection logging information to obtain a plurality of groups of offset images of fast transverse wave reflected waves in different directions, determining a first offset imaging slice with the most developed natural crack from the offset images of the fast transverse wave reflected waves in the different directions, wherein all cracks displayed on the first offset imaging slice are natural cracks, processing the post-fracturing transverse wave far detection logging information to obtain a plurality of groups of fast transverse wave reflected waves in different directions, determining the fast transverse wave reflected waves in the strongest direction from the plurality of groups of fast transverse wave reflected waves in the different directions, generating the determined fast transverse wave reflected waves into offset images to obtain a second offset imaging slice, wherein the cracks displayed on the second offset imaging slice are possible natural cracks, and the fracture can also be a fractured fracture, so that the fractured fracture can be identified through combination and comparison of the first offset imaging slice and the second offset imaging slice, and the development degree and development direction of the fractured fracture can be identified.
It will be apparent to those skilled in the art that the modules or steps of the embodiments of the invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for identifying a fracturing fracture of a hidden reservoir beside a well is characterized by comprising the following steps:
acquiring pre-fracturing transverse wave far detection logging information and post-fracturing transverse wave far detection logging information of logging;
determining a plurality of groups of offset imaging of fast transverse wave reflected waves in different directions according to the far detection logging information of the transverse wave before fracturing;
determining a first offset imaging slice with the most developed natural fracture from offset imaging of a plurality of groups of fast transverse wave reflected waves in different directions, wherein the first offset imaging slice comprises the development condition of the natural fracture;
determining a plurality of groups of fast transverse wave reflected waves in different directions according to the fractured transverse wave far detection logging information;
determining a fast transverse wave reflected wave in an azimuth with the strongest energy from a plurality of groups of fast transverse wave reflected waves in different azimuths, and generating offset imaging for the determined fast transverse wave reflected wave to obtain a second offset imaging slice;
identifying a degree of development and a development orientation of a fracture from the first and second offset imaging slices.
2. The method for identifying the near-well hidden reservoir fractured fractures according to claim 1, wherein the step of determining a plurality of groups of fast shear wave reflected wave offset imaging in different directions according to the far detection logging information of the shear waves before fracturing comprises the following steps:
obtaining four-component dipole shear wave reflected wave waveforms according to the pre-fracturing shear wave far detection logging data;
determining a plurality of groups of fast transverse wave reflected wave waveforms in different directions according to an underground direction curve of the acoustic logging instrument and the four-component dipole transverse wave reflected wave waveforms, wherein adjacent direction groups are separated by a preset angle;
and respectively generating offset imaging for a plurality of groups of fast transverse wave reflected wave waveforms in different directions.
3. The method for identifying a hidden reservoir fracture near a well according to claim 2, wherein the step of determining a plurality of groups of fast transverse wave reflected wave waveforms in different directions according to an underground azimuth curve of the acoustic logging instrument and the four-component transverse wave reflected wave waveforms comprises:
converting the four-component dipole transverse wave reflected wave waveform to a geodetic coordinate by using a vector rotation method according to an underground azimuth curve of the acoustic logging instrument;
and determining a plurality of groups of fast transverse wave reflected wave waveforms in different directions based on the four-component dipole transverse wave reflected wave waveforms on the geodetic coordinates.
4. The method for identifying hidden reservoir fractured fractures beside a well according to any one of claims 1 to 3, wherein the step of determining a plurality of groups of fast shear wave reflected waves in different directions according to the post-fractured shear wave far detection logging information comprises the following steps:
acquiring four-component shear wave reflected wave waveforms according to the fractured shear wave far detection logging data;
and processing the four-component shear wave reflected wave waveforms one by one at depth points to determine multiple groups of fast shear wave reflected waves in different directions.
5. The utility model provides a near-wellbore hidden reservoir fracturing fracture recognition device which characterized in that includes:
the logging data acquisition module is used for acquiring logging data of pre-fracturing transverse wave far detection and logging data of post-fracturing transverse wave far detection;
the offset imaging module is used for determining offset imaging of a plurality of groups of fast transverse wave reflected waves in different directions according to the pre-fracturing transverse wave far detection logging data;
the first offset imaging slice determining module is used for determining a first offset imaging slice with the most developed natural fracture from offset imaging of multiple groups of fast transverse wave reflected waves in different directions, wherein the first offset imaging slice comprises the development condition of the natural fracture;
the multi-group fast transverse wave reflected wave determining module is used for determining a plurality of groups of fast transverse wave reflected waves in different directions according to the fractured transverse wave far detection logging data;
the second offset imaging slice determining module is used for determining the fast transverse wave reflected wave with the strongest energy position from a plurality of groups of fast transverse wave reflected waves with different positions, and generating offset imaging for the determined fast transverse wave reflected wave to obtain a second offset imaging slice;
and the fracture identification module is used for identifying the development degree and the development direction of the fracture according to the first offset imaging slice and the second offset imaging slice.
6. The apparatus of claim 5, wherein the offset imaging module comprises:
the shear wave reflected wave waveform acquisition unit is used for acquiring four-component shear wave reflected wave waveforms according to the shear wave far detection logging data before fracturing;
the fast transverse wave reflected wave determining units are used for determining a plurality of groups of fast transverse wave reflected wave waveforms in different directions according to an underground direction curve of the acoustic logging instrument and the four-component transverse wave reflected wave waveforms, wherein adjacent direction groups are spaced by a preset angle;
and the offset imaging unit is used for respectively generating offset imaging for a plurality of groups of fast transverse wave reflected wave waveforms in different directions.
7. The apparatus for identifying blind reservoir fracturing fractures as claimed in claim 6, wherein said multiple sets of said fast shear wave reflection determination units are specifically configured to convert said four component shear wave reflection waveforms into geodetic coordinates by a vector rotation method according to an azimuth curve of said sonic logging tool downhole; and determining a plurality of groups of fast transverse wave reflected wave waveforms in different directions based on four-component transverse wave reflected wave waveforms on the geodetic coordinates.
8. The apparatus for identifying hidden reservoir fracturing fractures as claimed in any one of claims 5 to 7, wherein the multiple groups of fast shear wave reflected wave determining modules are specifically configured to obtain four-component shear wave reflected wave waveforms according to the post-fracturing shear wave far detection logging data; and processing the four-component shear wave reflected wave waveforms one by one at depth points to determine multiple groups of fast shear wave reflected waves in different directions.
9. A computer apparatus comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the method of covertly concealing a reservoir fracture identification near a well of any of claims 1 to 4.
10. A computer readable storage medium storing a computer program for performing the method of blind reservoir fracture identification beside a well as claimed in any one of claims 1 to 4.
CN202011364581.9A 2020-11-27 2020-11-27 Method, device, equipment and medium for identifying fracturing fractures of hidden reservoir beside well Pending CN114542057A (en)

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