Search

CN-122020106-A - Method and device for determining sedimentary environment of carbonate rock

CN122020106ACN 122020106 ACN122020106 ACN 122020106ACN-122020106-A

Abstract

The present disclosure relates to the technical field of deposition environment recognition, and in particular, to a method and an apparatus for determining a deposition environment of carbonate rock, where the corresponding method includes acquiring logging data of carbonate rock in a research work area; and determining the sedimentary environment of the carbonate according to the logging data and a pre-generated sedimentary environment determination model, wherein the sedimentary environment determination model is generated based on a BP neural network, the weights of an input layer and a hidden layer of the sedimentary environment determination model are updated according to a pre-generated one-step gradient matrix and a second-order gradient matrix, and the one-step gradient matrix and the second-order gradient matrix are generated according to the logging data. According to the invention, the sedimentary environment of the carbonate rock can be rapidly determined only by logging data, so that the determination efficiency and accuracy of the sedimentary environment of the carbonate rock are greatly improved, and the exploration and development cost is reduced.

Inventors

  • GUO JINRUI
  • WANG DAPENG
  • GU NING
  • LI JIN
  • QIU DENGFENG

Assignees

  • 中国石油化工股份有限公司
  • 中国石油化工股份有限公司石油勘探开发研究院

Dates

Publication Date
20260512
Application Date
20241111

Claims (10)

  1. 1. A method for determining a deposition environment of carbonate rock, comprising: acquiring logging data of carbonate rock in a research work area; And determining the sedimentary environment of the carbonate according to the logging data and a pre-generated sedimentary environment determination model, wherein the sedimentary environment determination model is generated based on a BP neural network, the weights of an input layer and a hidden layer of the sedimentary environment determination model are updated according to a pre-generated one-step gradient matrix and a second-order gradient matrix, and the one-step gradient matrix and the second-order gradient matrix are generated according to the logging data.
  2. 2. The deposition environment determination method according to claim 1, wherein the step of generating the one-step gradient matrix and the second-order gradient matrix from the logging data comprises: Generating a multidimensional vector from the plurality of logging data; calculating a covariance matrix of the multidimensional vector; Determining an attenuation rate according to the covariance matrix; updating an initial matrix of the one-step-degree matrix according to the attenuation rate to generate the one-step-degree matrix; and updating an initial matrix of the second-order gradient matrix according to the attenuation rate to generate the second-order gradient matrix.
  3. 3. The deposition environment determination method according to claim 1, further comprising: determining the importance sequence of a plurality of logging data corresponding to the deposition environment according to the deposition environment determination model; and determining the characteristics of the logging data corresponding to the deposition environment according to the importance sequence.
  4. 4. The deposition environment determination method according to claim 3, wherein determining an order of importance of the plurality of log data corresponding to the deposition environment according to the deposition environment determination model comprises: Randomly disturbing the characteristic values of the logging data to generate disturbed characteristic values; Inputting the disturbed characteristic values into the deposition environment determining model, and determining the difference of the operation performance change of the deposition environment determining model; and determining the importance sequence of a plurality of logging data corresponding to the deposition environment according to the difference of the operational performance changes.
  5. 5. The deposition environment determination method according to claim 1, further comprising: And in the forward propagation training process of the deposition environment determination model, generating the data of the input layer according to the data of the input layer, the weight and the preset bias.
  6. 6. The deposition environment determination method according to claim 5, further comprising: determining the dimension of the deposition environment determination model according to the number of the deposition environments; and generating a loss function in the forward propagation training process according to the dimension and the positive probability of the deposition environment, wherein the positive probability of the prediction sample of the deposition environment determination model is the corresponding deposition environment.
  7. 7. A carbonate deposit environment determining apparatus, comprising: The logging data acquisition module is used for acquiring logging data of carbonate rocks in a research work area; The sedimentary environment determining module is used for determining the sedimentary environment of the carbonate rock according to the logging data and a pre-generated sedimentary environment determining model, wherein the sedimentary environment determining model is generated based on a BP neural network, the weights of an input layer and a hidden layer of the sedimentary environment determining model are updated according to a pre-generated one-step gradient matrix and a second-order gradient matrix, and the one-step gradient matrix and the second-order gradient matrix are generated according to the logging data.
  8. 8. A computer device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to carry out the steps of the method for determining the deposition environment of carbonate rock according to any one of claims 1 to 6.
  9. 9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the carbonate deposit environment determination method of any one of claims 1 to 6.
  10. 10. A computer program product comprising computer programs/instructions, characterized in that the computer program when executed by a processor realizes the steps of the method for determining the deposition environment of carbonate rock according to any one of claims 1 to 6.

Description

Method and device for determining sedimentary environment of carbonate rock Technical Field The present disclosure relates to the field of deposition environment identification technology, and in particular, to the field of technology for identifying a deposition environment by using geophysical well logging technology, and in particular, to a method, apparatus, device, storage medium, and computer program for determining a deposition environment of carbonate rock. Background In the prior art, methods for studying sedimentary phases of carbonates are mainly classified into two major categories, namely, geological analysis and geophysical, which can be classified into microphase analysis, biological phase method, experimental analysis and geochemical method according to data difference and implementation, and geophysical method is classified into mathematical-logging method and seismic method (Li Fengfeng et al, 2021). The microphase analysis method refers to a comprehensive sedimentation analysis method and means (Bao Hong is equal, 1999) for determining the formation mechanism and formation environment of the rock and sedimentation process information by observing and analyzing the rock mainly by means of a microscope and the like except for the conventional open-air direct observation outcrop, the microphase analysis method refers to a method for carrying out sedimentation environment analysis by means of the characteristic that each organism has a specific application range on water quality conditions, water body energy and the like, and the experimental analysis method is mainly used for definitely determining the diagenetic effect experienced by the rock and recovering the original sedimentation state. The geological basis is that the diagenetic effect has a certain inheritance on the sedimentary effect, the diagenetic effect lays a material foundation of the diagenetic effect, the type of the diagenetic effect is controlled, a diagenetic mechanism can be judged through diagenetic phases, the original sedimentary state is restored after diagenetic evolution is determined, further the sedimentary environment is deduced, the principle of the element analysis method is that element distribution, ratio change and combination in the stratum indicate the evolution process of the paleo-climate environment, minerals are information carriers for paleo-climate environment research, elements are basic units for forming mineral rocks, and the sedimentary environment can be identified by using element geochemical characteristics (Wang Kaiming and the like, 2009). The earthquake method is to build a sedimentary phase earthquake response model through well-earthquake calibration, and convert the earthquake phase into sedimentary phase through qualitative or quantitative method, and the earthquake-sedimentary phase response is attributed to lithology differences or paleomorphology to form different earthquake reflection structures, namely earthquake lithology and earthquake topography (once floods, 2011). All of the above methods require much data, such as cores, outages, cuttings, sedimentary formations, paleobiological combinations, so the application is not universal. Disclosure of Invention The present disclosure provides a method, apparatus, device, storage medium and computer program for determining the deposition environment of carbonate rock, which better solves the technical pain point of the prior art that multiple data are needed to divide the deposition microphase of carbonate rock, according to the method, the sediment environment can be rapidly analyzed by only logging data, so that the determination efficiency and accuracy of the sediment environment of the carbonate rock are greatly improved, and the exploration and development cost is reduced. In a first aspect, the present disclosure provides a method of determining a deposition environment of carbonate rock, comprising: acquiring logging data of carbonate rock in a research work area; And determining the sedimentary environment of the carbonate according to the logging data and a pre-generated sedimentary environment determination model, wherein the sedimentary environment determination model is generated based on a BP neural network, the weights of an input layer and a hidden layer of the sedimentary environment determination model are updated according to a pre-generated one-step gradient matrix and a second-order gradient matrix, and the one-step gradient matrix and the second-order gradient matrix are generated according to the logging data. In some embodiments of the present disclosure, the step of generating the first-order gradient matrix and the second-order gradient matrix from the logging data includes: Generating a multidimensional vector from the plurality of logging data; calculating a covariance matrix of the multidimensional vector; Determining an attenuation rate according to the covariance matrix; updating an initial matrix of the o