CN-121998224-A - Reservoir volume fracturing effect evaluation method, system, electronic equipment and storage medium

CN121998224ACN 121998224 ACN121998224 ACN 121998224ACN-121998224-A

Abstract

The invention belongs to the technical field of petroleum and natural gas engineering, and provides a reservoir volume fracturing effect evaluation method, a system, electronic equipment and a storage medium, wherein the method comprises the steps of obtaining single mineral content, actual Young modulus and single mineral Young modulus in a rock sample; according to the single mineral Young modulus of the rock sample, the single mineral content and the actual Young modulus are combined, the mineral dispersity, the Young modulus gap and the mineral adhesion of the rock sample are calculated, the fracture potential of a reservoir where the rock sample is located is calculated according to the Young modulus gap and the mineral adhesion, the fracture network complexity index of the reservoir is calculated according to the mineral dispersity and the fracture potential of the reservoir, and the reservoir volume fracturing effect is evaluated according to the fracture network complexity index. The fracturing effect of the reservoir volume is evaluated by comprehensively considering the complexity of natural cracks and the complexity of a fracture network formed by reservoir reconstruction, and the precision and accuracy of the fracturing effect evaluation are improved.

Inventors

LI WENZHE
LIU FEI
ZENG JI
YI BIN
MA HUALING
FAN JINMING

Assignees

中国石油天然气股份有限公司

Dates

Publication Date: 20260508
Application Date: 20241106

Claims (10)

1. A method for evaluating the fracturing effect of the volume of a reservoir is characterized by comprising the following steps of, Acquiring the single mineral content, the actual Young modulus and the single mineral Young modulus of the rock sample; Calculating a mineral dispersity, a young's modulus gap and a mineral adhesion of the rock sample from the single mineral young's modulus of the rock sample in combination with the single mineral content and the actual young's modulus; calculating fracture potential of a reservoir where the rock sample is located according to the Young modulus difference and the mineral adhesion; and evaluating the reservoir volume fracturing effect according to the seam network complex index.
2. The method of claim 1, further comprising, prior to said obtaining the single mineral content, the actual young's modulus, and the single mineral young's modulus in the rock sample, drying the rock sample to a constant weight.
3. The method of claim 1, wherein calculating the mineral dispersion of the rock sample from the single mineral young's modulus of the rock sample in combination with the single mineral content and the actual young's modulus comprises: Wherein Ew is the optimal dispersivity and dimensionless, ei is the Young modulus of the single mineral, MPa, ki is the single mineral content,%, n is the number of single mineral species in the rock sample, ec is the actual Young modulus, MPa, and Ef is the mineral dispersivity and dimensionless of the rock sample.
4. The method of claim 3, wherein calculating the Young's modulus gap for the rock sample based on the Young's modulus of the single mineral of the rock sample in combination with the single mineral content and the actual Young's modulus comprises, Sorting the Young modulus of the single minerals from small to large, setting subscripts of the Young modulus of the single minerals according to the sorting, wherein the larger the Young modulus of the single minerals is, the larger the subscripts of the single minerals are, and calculating the Young modulus gap of the rock sample comprises the following steps: Wherein Eij is the Young modulus difference of the rock sample, ei and Ej are the Young modulus of single mineral, and the Young modulus of single mineral of the index of i is larger than that of single mineral of the index of j and MPa.
5. The method of claim 4, wherein calculating the mineral adhesion of the rock sample from the single mineral young's modulus of the rock sample in combination with the single mineral content and the actual young's modulus comprises: k ij ＝k i k j (i≥2,j<i), Wherein kij is the mineral attachment degree of the rock sample, and ki and kj are the single mineral contents, wherein the Young modulus of the single mineral of the index i is larger than that of the single mineral of the index j, and the dimensionless is realized.
6. The method of claim 5, wherein calculating the fracture potential of the reservoir where the rock sample is located based on the young's modulus gap and the mineral adhesion comprises: calculating a fracture potential of the rock sample from the young's modulus gap and the mineral adhesion, comprising: G ij ＝E ij k ij (i≥2,j<i), Gij is the fracture potential of the rock sample, and is dimensionless; according to the fracture potential of the rock sample, the fracture potential of the reservoir where the rock sample is located is calculated as follows: gz is fracture potential of the reservoir, dimensionless.
7. The method of claim 6, wherein calculating a fracture network complexity index for the reservoir based on the mineral dispersion and fracture potential of the reservoir, and evaluating the reservoir volume fracturing effect based on the fracture network complexity index comprises: B Q ＝G z E f , wherein B Q is a stitch net complex index, and is dimensionless; The larger the seam network complex index B Q is, the better the reservoir volume fracturing effect is.
8. Reservoir volume pressure effectiveness evaluation system, characterized in that the system comprises, The acquisition module is used for acquiring the single mineral content, the actual Young modulus and the single mineral Young modulus of the rock sample; The rock sample parameter calculation module is used for calculating the mineral dispersity, the Young modulus gap degree and the mineral attachment degree of the rock sample according to the single mineral Young modulus of the rock sample and the single mineral content and the actual Young modulus; the reservoir parameter calculation module calculates the fracture potential of the reservoir where the rock sample is located according to the Young modulus difference and the mineral adhesion; and the effect evaluation module is used for evaluating the volume fracturing effect of the reservoir according to the seam network complex index.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1-7 when the program is executed by the processor.
10. A computer storage medium having stored thereon a computer program, which when executed by a processor performs the method according to any of claims 1-7.

Description

Reservoir volume fracturing effect evaluation method, system, electronic equipment and storage medium Technical Field The disclosure belongs to the technical field of petroleum and natural gas engineering, and particularly relates to a reservoir volume fracturing effect evaluation method, a system, electronic equipment and a storage medium. Background Compact oil gas resources are very rich, the development potential is huge, and the compact oil gas resources become strategic oil successor resources and become the main force of oil gas storage and production in the future. The large-scale sectional multi-cluster volume fracturing of the horizontal well is a key technology for efficiently developing unconventional compact oil gas, and accelerates the pace of increasing the storage and the production of each oil field. However, tight gas reservoirs have strong heterogeneity, and vertical and horizontal sand body spreading is proved to be very uneven through horizontal well coring. Meanwhile, due to the early-stage construction movement, the reservoir usually develops natural cracks, but the accuracy of the conventional test means for the occurrence and distribution of the natural cracks can not meet the requirement of quantitative characterization, so that the competition initiation and expansion rules of the multi-cluster cracks are extremely complex, the control mechanism is undefined, and the evaluation of the fracturing effect brings great challenges. Although advanced fracturing technology is adopted, due to the lack of an optimized parameter system matched with the characteristics of the reservoir, the transformation effect difference of different horizontal wells in the same block is obvious, and the productivity of the reservoir cannot be fully utilized. However, factors affecting the effectiveness of unconventional dense gas backlog are numerous and complex. The technical proposal of the prior art for the problems is that (1) in the geology of periodical oil and natural gas, in 2021 period 5, the research of the electromagnetic wave of the oil seam of the Hudos basin shale published by Jiao Fangzheng and the application thereof in the volume development are disclosed. The method comprises the steps of providing a subdivision cut volume fracture network sweep volume calculation model, establishing a relation formula between key geological engineering parameters and microseism coverage volume by using a multiple linear regression method, correcting the relation formula by further using actual yield data of a mining field, establishing a fracture network sweep volume quantitative characterization empirical formula, drawing a correlation graph of the fracture network sweep volume quantitative characterization empirical formula and productivity, and guiding optimization of the volume fracture engineering parameters. (2) Patent number CN201810759973.1, patent name, a comprehensive evaluation method for the completion efficiency of a multi-stage fracturing horizontal well of a tight oil and gas reservoir. According to the method, firstly, reservoir physical property parameters and hydraulic fracturing construction parameters special for a multistage fracturing horizontal well are comprehensively considered by using a hierarchical analysis method, a multi-level evaluation system of well completion efficiency influence factors is established, secondly, the gray correlation method is used for taking the capacity of the horizontal well as a target, the weight coefficient of each influence factor is calculated, and the influence factors are ordered according to the weight coefficient, so that the main control factors of the well completion efficiency are definitely influenced. And finally, calculating a comprehensive well completion efficiency evaluation factor according to the weight coefficient, and sequencing and grading the comprehensive well completion efficiency evaluation factor, wherein the higher the comprehensive well completion efficiency is, the better the reservoir transformation effect is, so that the purpose of comprehensively evaluating the well completion efficiency of the multi-stage fracturing horizontal well of the tight oil and gas reservoir is achieved. (3) In the journal special oil and gas reservoir, in 2015, the volume fracturing effect influence factor analysis of the tight reservoir horizontal well published by Wang Rui. In the method, 7 factors influencing the volume fracturing effect of the horizontal well are selected aiming at the volume fracturing horizontal well of the tight oil test area, the influence and the cause of each factor on the oil production in different periods after the fracturing are analyzed, and an improved process is provided. The method comprehensively considers physical property parameters of reservoirs and fracturing construction parameters, but does not consider production dynamic key parameters such as stratum pressure and the like. The prior art comprehens