TN1108 : Identification of reservoir fractures from the FMI image in one of the fields in the southwest of Iran
Thesis > Central Library of Shahrood University > Mining, Petroleum & Geophysics Engineering > MSc > 2022
Authors:
[Author], Abolghasem Kamkar Rouhani[Supervisor], Ali Reza Arab-Amiri[Supervisor], [Advisor]
Abstarct: In the exploration, development and production of reservoirs, it is necessary to know the zones with many fractures, in fact, the first step is to study reservoirs (especially fractured reservoirs), identify fractures, and then estimate and analyze them. Despite the fact that almost all hydrocarbon reservoirs are somehow affected by natural fractures, the role and behavior of fractures in reservoirs is still not well understood, because fractures have different behaviors that make it difficult to predict reservoirs. Researchers have long been searching for a tool that provides a virtual image of the well wall. In this research, with the help of visual diagrams, the fractures in one of the fields in southwest Iran have been identified, analyzed and interpreted. The main goal of this research is to identify fractures baxsed on FMI recorder data. Fractures were investigated in two studied wells. In this method, by combining the results of Geolog software manually, open and closed fractures were identified and separated with high accuracy. Finally, fractures were identified in well A with a total of 262 open and closed fractures with a general trend of northeast-southwest and in well B with a total of 64 open and closed fractures with a general trend of east-west and by determining the density and openness of fractures in each In two wells, the zones with the highest density of fractures and openings were also determined.
Keywords:
#Keywords: fractures #FMI image notation #image processing #fracture opening #fracture density #edge detection filters Keeping place: Central Library of Shahrood University
Visitor: