CN-121993138-A - Quantitative evaluation method for compact oil horizontal well productivity influence factors and measure well selection

Abstract

The invention belongs to the field of petroleum gas field development, and discloses a compact oil horizontal well productivity influence factor and measure well selection quantitative evaluation method, which is based on a productivity main control factor evaluation model of various mathematical methods: and (3) synthesizing dynamic and static data in the aspects of geology, development, engineering and the like, calculating a main control factor association coefficient of a tight oil reservoir horizontal well by using mathematical methods such as bias correlation analysis, gray association method and the like, calculating geology, engineering and yield scores according to a yield main control factor judgment result and the association coefficient and combining actual oil test and production data, and adding the three to obtain total score so as to realize quantitative evaluation of the main control factor, comprehensive evaluation of reservoir transformation effect and quantification of a measure well selection. The invention solves the problems of large development effect difference and unknown main control factors of productivity of the tight oil fracturing horizontal well, and has guiding significance for the deployment and later development and adjustment of a new well of a tight oil field.

Inventors

• CHEN LI
• LI ZHONGCHENG
• WANG YIMENG
• JIANG ZHENCHANG
• WANG LEI

Assignees

• 中国石油天然气股份有限公司

Dates

Publication Date

20260508

Application Date

20241108

Claims (11)

1. 1. The method is characterized in that factors affecting the productivity of the tight oil horizontal well are evaluated based on productivity master control factor evaluation models of various mathematical methods, evaluation indexes comprise reservoir hydraulic fracturing effect, geological score, engineering score and yield score, and the three are added to obtain total score, so that the master control factor quantitative evaluation, reservoir transformation effect comprehensive evaluation and measure well selection quantification are realized.
2. 2. The quantitative evaluation method for the productivity influence factors and the measure well selection of the tight oil horizontal well according to claim 1, wherein the productivity master control factor evaluation model comprises dynamic and static data of comprehensive geology, development and engineering.
3. 3. The method for quantitatively evaluating the productivity influence factors and the measure well selection of the tight oil horizontal well according to claim 1, wherein the hydraulic fracturing effect of the reservoir is analyzed semi-quantitatively or quasi-quantitatively by adopting a gray system method or an artificial neural network nonlinear method.
4. 4. The quantitative evaluation method for the production capacity influence factors and the measure well selection of the tight oil horizontal well according to claim 3, wherein the gray system method is calculated according to a GM model, GM (1, N) is a state model which reflects the influence of N-1 variables on the first derivative change of dependent variables, the influence is used for modeling the well selection layer of the well to be evaluated of the fracturing well, so that the established model has better representativeness, and secondly, the well data to be evaluated is standardized, and the sequence closest to the modeling database is calculated to obtain the result of an unknown well by replacing calculation.
5. 5. The quantitative evaluation method for the production capacity influence factors and measure well selection of the tight oil horizontal well according to claim 4, wherein the method for standardizing the GM (1, N) parameters is as follows: when the minimum distance between the unknown well and the known well in the modeling data is obtained, in order to fully consider the influence of each parameter on the result, the result balance of the correlation analysis is adopted, namely: Dmin=x(1)Xr(1)+x(2)Xr(2)+......+x(n)Xr(n) Where dmin—the minimum distance of an unknown well parameter from a known well parameter; r (1), (r 2.) r (n) is the degree of association of each modeling parameter with the dependent variable.
6. 6. The quantitative evaluation method for the productivity influence factors and the measure well selection of the tight oil horizontal well according to claim 1 is characterized in that in the multi-factor analysis of the hydraulic fracturing effect of the reservoir, the factors included in each sequence are ①, wherein the average yield after single well oil test or production is taken as a parent sequence, and ②, wherein the various fracturing effect influence factors are taken as subsequences.
7. 7. The method for quantitatively evaluating the productivity influence factors and the measure well selection of the tight oil horizontal well according to claim 6, wherein the subsequence comprises parameter indexes such as sandstone length, effective thickness, porosity, permeability, total fracturing fluid, sand adding amount, controlled reserves and crack cluster number, disposable flowback rate and the like of horizontal drilling.
8. 8. The method for quantitatively evaluating the production capacity influence factors and the measure well selection of the tight oil horizontal well according to claim 1, wherein the geological score is as follows:
9. 9. The compact oil horizontal well productivity influencing factor and measure option well quantitative evaluation method according to claim 1, wherein the engineering score is as follows:
10. 10. the compact oil horizontal well productivity influencing factor and measure option well quantitative evaluation method according to claim 1, wherein the yield score is:
11. 11. The quantitative evaluation method for the productivity influence factors and measure option wells of the tight oil horizontal well according to claim 1 is characterized in that the comprehensive evaluation of the reservoir reforming effect is divided into three types: S t is more than or equal to 3; Class II, 3> S t is more than or equal to 2.5; class III S t <2.5.

Description

Quantitative evaluation method for compact oil horizontal well productivity influence factors and measure well selection Technical Field The invention belongs to the field of petroleum gas field development, and relates to a compact oil horizontal well productivity influence factor and a measure well selection quantitative evaluation method. Background The production influencing factors after hydraulic fracturing of the tight oil horizontal well are very complex, and the problems of large development effect difference and unknown Shan Jinggao production-stable production main control factors mainly exist, and a method for comprehensively judging the production main control factors is lacked; secondly, the accurate prediction of the productivity of the fractured horizontal well is difficult, the later development faces large uncertainty, thirdly, the situation that the adjustment of measures lacks basis is urgent to construct a dense oil reservoir volume fractured horizontal well productivity main control factor quantitative judgment technology and a measure well selection method under comprehensive control of geological conditions, development schemes, engineering designs and the like of a research area. The problems are to synthesize the research of the dynamic characteristics of the production of the tight oil reservoir horizontal well, analyze the influence of geological factors, development factors and engineering factors on the dynamic production of the tight oil reservoir horizontal well, summarize the dynamic production mode of the tight oil reservoir horizontal well, and evaluate the development effects of different modes. Up to now, no quantitative evaluation method capable of solving the three problems at one time exists in the related market. The CN108446797A is used for establishing a database comprising a sample set, a productivity influencing factor set and an evaluation index main factor set, establishing a multi-level productivity influencing factor evaluation system according to the database, calculating weight coefficients influencing the productivity factors in the multi-level evaluation system by using a gray correlation analysis method, sequencing the weight coefficients, clearly influencing the productivity main control factors, sequentially calculating membership degrees of each fracturing well influencing the productivity factors by using a normal distribution membership function, carrying out fuzzy operation on the weight coefficients and the membership degrees influencing the productivity factors, quantifying comprehensive scores of each well fracturing effect, dividing the comprehensive scores into intervals, and predicting the initial productivity of the fracturing of the horizontal well volume according to the intervals where the comprehensive scores of the fracturing wells are located. The accuracy of the initial productivity prediction of the horizontal well volume fracturing is improved, and the method has an important guiding effect on optimizing the fracturing scheme design. However, the scheme cannot quantitatively evaluate the productivity influencing factors of the tight oil horizontal well and the measure well selection. Disclosure of Invention The method solves the problems of large development effect difference and unknown main control factors of the production capacity of the tight oil fracturing horizontal well, determines the relation between various factors and the production capacity, evaluates the correlation coefficient of the main control factors of the production capacity of the tight oil reservoir volume fracturing horizontal well, calculates geology, engineering and yield scores, adds the three to obtain total score, realizes quantitative evaluation of the main control factors, comprehensive evaluation of reservoir transformation effect, measures and well selection quantification, and has guiding significance for deployment, development and adjustment of new wells in later stages of a research area. The invention realizes the aim through the following technical scheme: The method is characterized in that the main control factors of the productivity of the compact oil horizontal well are considered, the correlation coefficient of each main control factor is quantized, geology, engineering and yield scores are calculated, the main control factor quantitative evaluation is realized, the reservoir transformation effect comprehensive evaluation is realized, and the measure well selection is quantized: (1) Factor evaluation affecting tight oil horizontal well productivity The influence factors of the hydraulic fracturing effect of the reservoir are very complex, namely, how the oil content of the well-killing layer is, and how the fracturing construction technology is, are difficult to express by simple factors and relational expressions, and are one difficulty in evaluating the fracturing effect. The comprehensive factors of the hydraulic fracturing effect of th