CN-121997511-A - Repeated fracturing and seam distributing method based on comprehensive dessert prediction model

CN121997511ACN 121997511 ACN121997511 ACN 121997511ACN-121997511-A

Abstract

The invention relates to a repeated fracturing and fracturing method based on a comprehensive dessert prediction model, which comprises the steps of S1 collecting logging data, well deviation data and well structure parameters of a target horizontal well, extracting geological attribute values measured along a well, S2 calculating rock mechanical parameters along the well according to the data collected by S1, S3 calculating classification threshold values of each attribute of each well and average value thereof, determining classification threshold values of each geological and rock mechanical parameter of each block, S4 establishing geological dessert, engineering dessert and comprehensive dessert profile S5, importing the geological dessert, engineering dessert, comprehensive dessert, rock mechanical parameter, primary fracturing perforation positions of each well and well cementation quality acoustic amplitude channels into visual software, drawing a repeated fracturing comprehensive sweet spot diagram, and S6 combining repeated fracturing process tools based on the repeated fracturing comprehensive sweet spot diagram, preferably optimizing a comprehensive dessert I, II type reservoir, and completing the repeated fracturing and fracturing position optimization design. The method solves the problem that the cloth seam position is difficult to accurately optimize and determine.

Inventors

REN JIAWEI
ZHOU TAO
QI YIN
BAI XIAOHU
LI XIANGPING
KANG BO
BU JUN
LI ZHUANHONG
Bai Yuen
YU JINZHU

Assignees

中国石油天然气股份有限公司

Dates

Publication Date: 20260508
Application Date: 20241101

Claims (9)

1. A repeated fracturing and fracturing method based on a comprehensive dessert prediction model is characterized by comprising the following steps: S1, extracting geological attribute values Collecting logging data, well deviation data and well structure parameters of a target horizontal well, and extracting geological attribute values of logging along a well shaft according to the acquired data; S2, extracting rock mechanical parameters Calculating rock mechanical parameters along the shaft according to the data collected in the step S1; s3, determining parameter attribute classification threshold values Drawing Gaussian distribution graphs of geological attribute and rock mechanical attribute data by using a normal information distribution method, sequentially obtaining I, II and III class thresholds of the geological attribute and the rock mechanical attribute of each single well, calculating an average value of classification thresholds of each attribute of each well, and finally determining classification thresholds of the geological and rock mechanical parameters of the block; s4, establishing geological desserts, engineering desserts and comprehensive dessert profile Constructing a geological dessert evaluation model according to the geological attribute value of S1 and the classification threshold value of S3, and acquiring a geological dessert section; According to the rock mechanical parameters of the S2 and the classification threshold of the S3, constructing an engineering dessert evaluation model to obtain an engineering dessert profile; Introducing a multi-source information decision-making system, and making a comprehensive dessert algorithm calculation rule so as to obtain a double dessert and a comprehensive dessert profile; S5, drawing a repeated fracturing comprehensive dessert map Importing geological desserts, engineering desserts, comprehensive desserts, rock mechanical parameters, primary fracturing perforation positions of each well in logging data and a well cementation quality acoustic amplitude channel into visual software, and finally drawing to obtain a repeated fracturing comprehensive sweet spot diagram; s6, optimizing repeated fracturing cloth seams Based on the drawn repeated fracturing comprehensive sweet spot diagram, combining with repeated fracturing process tools, optimizing the comprehensive sweet spot I, II types of reservoirs, and completing the repeated fracturing cloth seam position optimization design.
2. The method for repeatedly fracturing and fracturing a well according to claim 1, wherein in S1, the logging data comprises logging graph and data volume file, well cementation quality logging graph and well cementation data volume file, the well deviation data comprises logging depth, well deviation angle, well deviation azimuth angle and vertical depth, and the well structure parameters comprise well casing parameters, casing length, window entry point, well deviation point and well completion depth data.
3. The method of repeating fracturing deployment based on integrated dessert prediction model of claim 1, wherein in S1, the geologic property values comprise porosity, permeability, oil saturation values.
4. The method of claim 1, wherein in S2, the rock mechanical parameters include reservoir dynamic young 'S modulus, poisson' S ratio, maximum principal stress, minimum principal stress, and vertical principal stress values.
5. The method for repeatedly fracturing and fracturing the well according to the comprehensive dessert prediction model of claim 1 or 2, wherein in S2, the method for calculating the rock mechanical parameters along the well bore according to the data collected in S1 is to calculate the dynamic Young modulus, poisson' S ratio, vertical principal stress, maximum principal stress and minimum principal stress of the reservoir according to the longitudinal wave time difference, the transverse wave time difference and the rock density data in the logging data collected in S1.
6. The method for repeatedly fracturing and fracturing the fracture based on the comprehensive dessert prediction model according to claim 5, wherein the calculation formulas of the reservoir dynamic young modulus, the poisson ratio, the vertical main stress, the maximum main stress and the minimum main stress are as follows: wherein mu d is poisson's ratio; E d is the Young's modulus of the storage dynamics; Deltat s is transverse wave time difference, μs/ft; deltat p is the longitudinal wave time difference, μs/ft; ρ is the formula calibration density, g/cm 3 ; ρ 0 is the surface rock density, g/cm 3 ; ρ Ⅰ is the log data rock density, g/cm 3 ; ρ b (h) is the rock density on the integration unit, g/cm 3 ; e is a power exponent; h is the unit length of calculus, m; H is the vertical depth of the core and m; d is a differential sign; b is a constant; z is the complement depth, m; g is gravity acceleration, N/S 2 ; sigma v is vertical main stress, MPa; σ min is the minimum principal stress; σ max is the maximum principal stress; p p is the rock pore pressure, MPa; Alpha, beta 1 、β 2 are regional test constants.
7. The method for repeated fracturing and fracturing based on the comprehensive dessert prediction model according to claim 1 or 4, wherein in S3, the specific method for determining the parameter attribute classification threshold is as follows: And drawing a Gaussian distribution diagram of each geological attribute according to rock mechanical attribute data by using a normal information distribution method, sequentially obtaining I, II and III class thresholds of each single-well geological and rock mechanical attribute value according to a method for grabbing attribute values corresponding to 20% and 50% of accumulated distribution frequency, further calculating the average value of all classification thresholds of the same attribute value of each well, and finally determining the classification threshold of each geological and engineering evaluation parameter of the block.
8. The repeated fracturing and fracturing method based on the comprehensive dessert prediction model according to claim 1, wherein in S4, the calculation rule of the comprehensive dessert algorithm is specifically as follows: According to the determined geological attribute and rock mechanical attribute classification threshold, the geological dessert type I and engineering dessert type I reservoirs are preferably selected as type I comprehensive reservoirs, and the geological dessert type I, engineering dessert type II or geological dessert type II reservoirs are preferably selected as type II comprehensive reservoirs, and the other types of reservoirs are selected as type III comprehensive reservoirs.
9. The repeated fracturing cloth seam method based on the comprehensive dessert prediction model according to claim 1, wherein in S6, the repeated fracturing cloth seam optimization method is characterized in that in the repeated fracturing cloth seam optimization process, firstly, the number of target segment clusters expected to be reformed is input, meanwhile, according to the repeated fracturing reforming technology, the allowable minimum crack cluster distance is input, an optimization screening code is written, and according to the principle of preferentially arranging the seam in the comprehensive dessert type I and type II reservoir layers, the recommended cloth seam position is formed.

Description

Repeated fracturing and seam distributing method based on comprehensive dessert prediction model Technical Field The invention belongs to the technical field of integral repeated transformation of old oilfield blocks, and particularly relates to a repeated fracturing and seam distributing method based on a comprehensive dessert prediction model. Background The repeated fracturing technology refers to the secondary or even tertiary reconstruction of the existing fracturing well, after repeated fracturing, the reservoir can not only promote the production for a certain period after initial fracturing, gradually generate closed cracks to open again, further enlarge the original reconstruction volume, but also form new cracks through a related process method, and the new cracks are turned to the non-mined stratum. The repeated fracturing is suitable for strata such as lamellar, heterogeneous and natural fracture development, and can be implemented on a reservoir when the initial fracturing effect is reduced or the initial fracturing mode effect is not ideal in the later period of oil and gas reservoir development. The repeated fracturing technology can effectively improve the final recoverable reserve of the tight oil reservoir horizontal well, and the repeated fracturing yield increasing effect is closely related to geological desserts and engineering desserts and is related to well cementation quality and shaft conditions. The geological and engineering sweet spot evaluation values are related to a plurality of evaluation parameters, and the correlation importance among the parameters is difficult to be scientifically resolved, so that the establishment of the comprehensive sweet spot evaluation prediction model has important significance for repeated fracturing technology policy formulation and scheme optimization adjustment. In the prior art, the invention patent of application number 201910476694.9 discloses a comprehensive compressibility evaluation method of a shale gas fracture network, which considers the compressibility of a reservoir matrix, and adds evaluation indexes such as the development strength of natural cracks, layer structures and other weak surfaces in the reservoir, the strength of hydraulic cracks for promoting the reservoir to crack, the capability of the hydraulic cracks for maintaining and extending and the like, so that the reservoir which is easy to crack, easy to expand and high in resource abundance can be effectively identified, but the geological evaluation parameters are considered more singly. The invention patent of application number 202111109889.3 discloses a full life cycle shale gas reservoir dual dessert three-dimensional compressibility evaluation method, provides a three-dimensional compressibility evaluation technology based on a geological engineering integrated thought, can realize accurate calculation of dynamic compressibility parameters, facilitates parameter extraction of a follow-up three-dimensional compressibility evaluation model, and requires integrated modeling and simulation technology in the application process of the method. The invention patent of application number 202311187818.4 discloses a method for evaluating double desserts of a reservoir layer by considering the weakness, which takes the mechanical property of reservoir rock, logging data and logging data into consideration, and establishes a method for evaluating multi-scale reservoir fracturing property by considering 'rock chip-core-well bore-reservoir layer', so as to realize the evaluation of double desserts of the reservoir layer at the weakness. As shown above, the evaluation of the horizontal well repeated fracturing comprehensive dessert is not fully considered for geological and engineering factors, repeated fracturing wellbore conditions are not considered, the comprehensive cost is high, the technical difficulty is high, and a high-efficiency and proper unconventional oil reservoir horizontal well repeated fracturing comprehensive dessert judging method is not available. Disclosure of Invention The invention aims to provide a repeated fracturing and fracturing distribution method based on a comprehensive dessert prediction model, so as to solve the problem that the distribution position is difficult to accurately optimize and determine in the repeated fracturing and optimizing design process of different types of oil reservoir horizontal wells. In order to achieve the above purpose, the present invention provides the following technical solutions: a repeated fracturing and fracturing method based on a comprehensive dessert prediction model is characterized by comprising the following steps: S1, extracting geological attribute values Collecting logging data, well deviation data and well structure parameters of a target horizontal well, and extracting geological attribute values of logging along a well shaft according to the acquired data; S2, extracting rock mechanical parameters Calc