{"title":"Integration of microseismic and well production data for fracture network calibration with an L-system and rate transient analysis","authors":"Zhiwei Zhou, Yuliang Su, Wendong Wang, Yi Yan","doi":"10.1016/j.juogr.2016.07.001","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, a novel method which integrates the microseismic events (MSE) and well production data is introduced for calibrating the fracture networks. The fracture geometry is calibrated by matching the MSE with an L-system which is based on the fractal geometry theory. Integer programming shows a vigorous performance during the geometry matching procession. The matching fractal networks can cover most MSE and follow the extending trend of the original fracture networks. Furthermore, the multilevel feature of the fractal networks helps to specify the properties of the fractures for a meticulous study. Calibration on properties, especially the fracture half-length and the fracture conductivity, is carried out according to the geometry matching results. Rate transient analysis (RTA) is utilized for interpreting the production data and estimating the parameters of the fracture networks; well production data is taken as the matching object to validate and adjust the fracture properties. The results show that when considering a complex fracture network, estimation through traditional RTA may not reflect the properties of the total fracture network: (1) the estimated fracture half-length equals to the total half-length of the main fractal fractures, which determines the initial production and decline rate; (2) the estimated fracture conductivity characterizes an average conductivity of the secondary fractures which cover most stimulated region.</p></div>","PeriodicalId":100850,"journal":{"name":"Journal of Unconventional Oil and Gas Resources","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.juogr.2016.07.001","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Unconventional Oil and Gas Resources","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213397616300234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
In this paper, a novel method which integrates the microseismic events (MSE) and well production data is introduced for calibrating the fracture networks. The fracture geometry is calibrated by matching the MSE with an L-system which is based on the fractal geometry theory. Integer programming shows a vigorous performance during the geometry matching procession. The matching fractal networks can cover most MSE and follow the extending trend of the original fracture networks. Furthermore, the multilevel feature of the fractal networks helps to specify the properties of the fractures for a meticulous study. Calibration on properties, especially the fracture half-length and the fracture conductivity, is carried out according to the geometry matching results. Rate transient analysis (RTA) is utilized for interpreting the production data and estimating the parameters of the fracture networks; well production data is taken as the matching object to validate and adjust the fracture properties. The results show that when considering a complex fracture network, estimation through traditional RTA may not reflect the properties of the total fracture network: (1) the estimated fracture half-length equals to the total half-length of the main fractal fractures, which determines the initial production and decline rate; (2) the estimated fracture conductivity characterizes an average conductivity of the secondary fractures which cover most stimulated region.