利用Canny和Sobel边缘检测算法在FMI图像测井上识别储层裂缝

IF 1.8 4区工程技术 Q4 ENERGY & FUELS Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles Pub Date : 2021-02-02 DOI:10.2516/OGST/2020086

Mina Shafiabadi, A. Kamkar-Rouhani, Seyed Reza Ghavami Riabi, A. R. Kahoo, B. Tokhmechi

{"title":"利用Canny和Sobel边缘检测算法在FMI图像测井上识别储层裂缝","authors":"Mina Shafiabadi, A. Kamkar-Rouhani, Seyed Reza Ghavami Riabi, A. R. Kahoo, B. Tokhmechi","doi":"10.2516/OGST/2020086","DOIUrl":null,"url":null,"abstract":"Because of the significant impact of fractures on production in hydrocarbon reservoirs, identification of these phenomena is a very important issue. Image logs are one of the best tools for revealing and studying fractures in reservoir and researcher can get lots of information about geological features in wells, by studying and analyzing these logs. In this research, two approaches have been used to determine the fractures in two wells A and B located in one of the oil fields in southwest of Iran. In the first approach, using Geolog software (version-7), after processing and correction of raw image log data, the number, position, dip, extension, layering, density and expansion of fractures have been identified. In the second approach, considering that the fractures in FMI images have edges, the Canny and Sobel filters as edge detection operators in image processing have been used to detect fractures in these images.","PeriodicalId":19424,"journal":{"name":"Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Identification of reservoir fractures on FMI image logs using Canny and Sobel edge detection algorithms\",\"authors\":\"Mina Shafiabadi, A. Kamkar-Rouhani, Seyed Reza Ghavami Riabi, A. R. Kahoo, B. Tokhmechi\",\"doi\":\"10.2516/OGST/2020086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Because of the significant impact of fractures on production in hydrocarbon reservoirs, identification of these phenomena is a very important issue. Image logs are one of the best tools for revealing and studying fractures in reservoir and researcher can get lots of information about geological features in wells, by studying and analyzing these logs. In this research, two approaches have been used to determine the fractures in two wells A and B located in one of the oil fields in southwest of Iran. In the first approach, using Geolog software (version-7), after processing and correction of raw image log data, the number, position, dip, extension, layering, density and expansion of fractures have been identified. In the second approach, considering that the fractures in FMI images have edges, the Canny and Sobel filters as edge detection operators in image processing have been used to detect fractures in these images.\",\"PeriodicalId\":19424,\"journal\":{\"name\":\"Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.2516/OGST/2020086\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.2516/OGST/2020086","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}

引用次数: 16

摘要

由于裂缝对油气生产的影响很大，因此裂缝现象的识别是一个非常重要的问题。图像测井是揭示和研究储层裂缝的最佳工具之一，通过对图像测井的研究和分析，可以获得大量的井内地质特征信息。在这项研究中，采用了两种方法来确定位于伊朗西南部一个油田的A和B两口井的裂缝。第一种方法是利用地质软件(version-7)，对原始影像测井资料进行处理和校正，识别裂缝的数量、位置、倾角、延伸、分层、密度和扩张;在第二种方法中，考虑到FMI图像中的裂缝具有边缘，在图像处理中使用Canny和Sobel滤波器作为边缘检测算子来检测这些图像中的裂缝。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Identification of reservoir fractures on FMI image logs using Canny and Sobel edge detection algorithms

Because of the significant impact of fractures on production in hydrocarbon reservoirs, identification of these phenomena is a very important issue. Image logs are one of the best tools for revealing and studying fractures in reservoir and researcher can get lots of information about geological features in wells, by studying and analyzing these logs. In this research, two approaches have been used to determine the fractures in two wells A and B located in one of the oil fields in southwest of Iran. In the first approach, using Geolog software (version-7), after processing and correction of raw image log data, the number, position, dip, extension, layering, density and expansion of fractures have been identified. In the second approach, considering that the fractures in FMI images have edges, the Canny and Sobel filters as edge detection operators in image processing have been used to detect fractures in these images.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 工程技术-工程：化工

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

2.7 months

期刊介绍： OGST - Revue d''IFP Energies nouvelles is a journal concerning all disciplines and fields relevant to exploration, production, refining, petrochemicals, and the use and economics of petroleum, natural gas, and other sources of energy, in particular alternative energies with in view of the energy transition. OGST - Revue d''IFP Energies nouvelles has an Editorial Committee made up of 15 leading European personalities from universities and from industry, and is indexed in the major international bibliographical databases. The journal publishes review articles, in English or in French, and topical issues, giving an overview of the contributions of complementary disciplines in tackling contemporary problems. Each article includes a detailed abstract in English. However, a French translation of the summaries can be provided to readers on request. Summaries of all papers published in the revue from 1974 can be consulted on this site. Over 1 000 papers that have been published since 1997 are freely available in full text form (as pdf files). Currently, over 10 000 downloads are recorded per month. Researchers in the above fields are invited to submit an article. Rigorous selection of the articles is ensured by a review process that involves IFPEN and external experts as well as the members of the editorial committee. It is preferable to submit the articles in English, either as independent papers or in association with one of the upcoming topical issues.