CN-121997057-A - Logging layering interpretation conclusion accurate comparison method and related system based on mutual cutting method

CN121997057ACN 121997057 ACN121997057 ACN 121997057ACN-121997057-A

Abstract

The invention provides a method and a related system for accurately comparing logging layering interpretation results based on a mutual cutting method, and belongs to the technical field of logging data processing in petroleum exploration and development. And (3) for the two versions of the well, the interpretation sets are layered, the interpretation sets are mutually cut according to the top depth and the bottom depth, the original interpretation intervals are split into contrastive intervals, the contrastive intervals are in one-to-one correspondence to form contrastive interval groups, whether the contrastive interval groups are equal or not can be known through comparison of a depth domain and a interpretation domain, and the complete difference comparison result of the well can be formed by statistically summarizing comparison conclusion of all the contrastive interval groups. The method is characterized in that the method comprises the steps of automatic cutting and comparison, wherein the automatic cutting and comparison is easy to add into the existing processing interpretation flow, the difference between interpretation results of different versions can be obtained rapidly, the multi-well comprehensive research period is shortened, and the comparison working efficiency can be improved remarkably and extra errors are avoided from being introduced manually especially for the conditions of a large number of wells, a large number of oil reservoirs and a large number of interpretation intervals.

Inventors

GUO HAIFENG
WANG WENZHAN
Duan Rutai
YU MINGFA
CHEN LIANGYU
ZHUANG WEI
JI RAN
WANG KUN
DU XUDONG
JIAO LIBO
WEI HAIYUN
HAN LONG

Assignees

中国石油天然气集团有限公司
中国石油集团测井有限公司
中油测井技术服务有限责任公司

Dates

Publication Date: 20260508
Application Date: 20241106

Claims (13)

1. A method for accurately comparing logging layering interpretation conclusions based on a mutual cutting method is characterized by comprising the following steps: acquiring two versions of the well logging hierarchical interpretation theory sets, wherein one hierarchical interpretation theory set is used as a left set, and the other hierarchical interpretation theory set is used as a right set; Cutting the left set with reference to the right set to form a contrastive left set; Cutting a right set by adopting a comparable left set to form a comparable right set; constructing a contrastive layer section group according to the contrastive left set and the contrastive right set to form a contrastive layered interpretation set; performing a comparison operation on each of the set of contrastive layer segments in the set of contrastive layer interpretation conclusions to form a comparison conclusion; Based on the comparison conclusion, summarizing statistics can compare the layer number and thickness of the interpretation conclusion of the left set and the right set, and a complete difference comparison result of the two version layered interpretation conclusion sets is formed.
2. The method for accurately comparing the interpretation of the well logging layering based on the mutual cutting method according to claim 1, wherein in the step of obtaining the interpretation sets of the two versions of the well logging layering, the interpretation sets comprise a plurality of interpretation layer segment groups, and each interpretation layer segment comprises two types of attribute data of a depth domain and a conclusion domain.
3. The method for accurately comparing logging hierarchical interpretation decisions based on a mutual cutting method according to claim 2, wherein the depth field comprises three attributes of layer segment top depth, bottom depth and thickness, and the bottom depth is greater than the top depth; the conclusion fields include one or more of lithology, reservoir classification, hydrocarbon water conclusion properties.
4. A method of accurately comparing interpretation of well logging layers based on a mutual cutting method as claimed in claim 2, wherein the two interpretation layers are constructed as a set of contrasting layers if and only if the depth fields of the two interpretation layers are exactly equal.
5. The method of claim 4, wherein the two interpretation intervals are comparable intervals and the interpretation fields are equal when the two interpretation intervals are equal, and are unequal otherwise.
6. The method for precisely comparing the interpretation conclusion of the logging layering based on the mutual cutting method according to claim 2 is characterized in that the specific step of cutting the left set by the right set is that the position relation between the interpretation interval of the left set and the interpretation interval corresponding to the right set is judged according to each interpretation interval in the left set, the interpretation interval of the left set is cut according to the interpretation interval of the right set, the contrastable interval is split, the conclusion domain of the contrastable interval is completely consistent with the interpretation interval of the right set, and the contrastable interval forms the contrastable left set.
7. The method for accurately comparing interpretation of well logging layering based on the mutual cutting method as claimed in claim 6, wherein the positions of the interpretation intervals of the left set and the interpretation intervals of the right set are equal, top intersection, bottom intersection, top disjoint, bottom disjoint, contained or contained.
8. The method for precisely comparing the interpretation results of the logging layering based on the mutual cutting method as set forth in claim 6, wherein the specific steps of cutting the right set by the contrastive left set are that, for each interpretation interval in the right set, the positional relationship between the right set interpretation interval and the interpretation interval corresponding to the contrastive left set is judged, the contrastive interval is separated according to the interpretation interval of the right set cut by the contrastive left set, the conclusion domain of the contrastive interval is completely consistent with the interpretation interval of the contrastive left set, and the contrastive right set is constructed by the contrastive interval.
9. The method for precisely comparing interpretation of well logging layering based on the mutual cutting method as set forth in claim 6 or 8, wherein the specific steps of constructing the contrastive layer segment group according to the contrastive left set and the contrastive right set are that the top boundary and the bottom boundary of the interpretation layer segments in the contrastive left set and the contrastive right set are completely aligned with each other, and the contrastive layer segment group in the two sets is combined to construct the contrastive layer segment group, so that the contrastive layer interpretation layer group is formed.
10. The method for accurately comparing the interpretation of the logging layers based on the mutual cutting method according to claim 1, wherein the comparison is: (1) Left increase/right decrease, with contrasting intervals in the left set but not in the right set; (2) Right increase/decrease-left-right with comparable intervals in the right set but not in the left set; (3) The conclusion fields of the contrasted layer sections of the left set and the right set are completely equal; (4) Inequality-the conclusion fields of the left and right sets of comparable intervals are not exactly equal.
11. The utility model provides a logging layering interpretation accurate comparison system based on mutual cutting method which characterized in that includes: the hierarchical interpretation conclusion loading module is used for acquiring hierarchical interpretation conclusion sets of two versions of well logging, wherein one hierarchical interpretation conclusion set is used as a left set, and the other hierarchical interpretation conclusion set is used as a right set; The first mutual cutting method application module is used for cutting the left set by referring to the right set to obtain a comparable left set; the second mutual cutting method application module is used for cutting the right set by referring to the comparable left set to obtain the comparable right set; The contrast and analysis module is used for constructing a contrastive layer segment group according to the contrastive left set and the contrastive right set to obtain a contrastive layered interpretation set; And the summarizing module is used for summarizing and counting the comparison hierarchical interpretation and interpretation sets to form complete difference comparison results of the two version hierarchical interpretation and interpretation sets.
12. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method for accurately comparing logging hierarchical interpretation decisions based on a mutual cutting method as claimed in any one of claims 1 to 10.
13. A storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the method for accurate comparison of logging hierarchical interpretation findings based on a mutual cutting method as claimed in any of claims 1 to 10.

Description

Logging layering interpretation conclusion accurate comparison method and related system based on mutual cutting method Technical Field The invention belongs to the technical field of logging data processing in petroleum exploration and development, and particularly relates to a logging layering interpretation conclusion accurate comparison method and a related system based on a mutual cutting method. Background The data of natural gamma, resistivity, acoustic time difference, rock density and the like acquired by the logging instrument along the well bore can be used for reserve calculation, reservoir modeling, development scheme establishment and the like only by processing and explaining steps to form parameters of porosity, saturation, permeability and the like and conclusions of lithology, hydrocarbon water layers and the like. The interpretation of the layers is one of the main achievements of well logging interpretation, each well has a plurality of intervals, each interval consists of a top depth, a bottom depth and an interpretation conclusion, and the interpretation conclusion can be of various types, such as lithology, reservoir classification, oil-water conclusion and the like. Logging data of different stages of exploration and development are subjected to multiple rounds of processing and interpretation, interpretation results of different versions are generated, and differences exist among the results of each version, wherein the differences are expressed in aspects of depth, layer thickness, interpretation conclusion and the like. The method has the advantages that the position and the frequency of the occurrence of the difference are accurately known, the total amount of the difference reaches what degree, and the reason for the difference is caused, so that the method has great significance for evaluating the accuracy and the reliability of the interpretation result and knowing the influence on the follow-up research work in advance. In general, two versions of interpretation conclusion cannot be directly compared, because the background of log data processing and interpretation is different, including the knowledge degree of stratum and oil reservoir, the richness of data such as well logging, core, oil test and the like, and the accuracy degree of interpretation models, interpretation parameters and the like, so that the formed interpretation conclusion is similar, but the detail differences are larger, mainly shows that the intersection relationship between layers is not completely equal, although some layers can be generally seen to be corresponding, the top depth and the bottom depth of the layers are different, quantitative comparison cannot be simply and directly performed, and a method is needed to automatically complete the quantitative comparison. Related methods or technologies in the prior published patent materials mainly focus on automatic layering problems, and less focus on interpretation conclusion automation comparison problems: (1) CN104793263A, integrating a plurality of logging curve change characteristics and boundary conditions to automatically layer, acquiring representative values of each curve layer by layer according to curve morphology, and automatically evaluating stratum properties according to a value result and a discrimination standard; (2) CN109670539A is that sandstone layering is carried out by utilizing a deep belief neural network DBN, mudstone and sandstone at corresponding positions can be obtained according to 4 logging data of natural gamma, density, sound waves and neutrons of a well, the output of neurons of an output layer can only be infinitely close to 1 and 0, the lithology label of the mudstone layering is floating point data in the range of [0,1], the size of the lithology label is the membership degree of the mudstone layering and the sandstone layer, and the lithology characteristic of the lithology label can be more accurately represented; (3) CN112784980A is used for realizing intelligent logging horizon division by using a neural network horizon division model, so that intelligent horizon division can be rapidly and accurately carried out in the logging processing interpretation process, and the layering efficiency is improved; (4) CN116975669A, constructing a geological description invariant feature by utilizing a logging curve to effectively excavate multi-curve invariant associated information among wells, and further designing an unsupervised integrated clustering region growth model with layering energy constraint under the support of the invariant feature, so that automatic layering of reservoir fine description industrial application requirements can be realized; (5) CN118191946A is a logging curve automatic layering method based on a principal component self-organizing neural network method, so that the purposes of reducing sample dimension and improving operation efficiency and lithology interpretation precision are achieved;