[1]王英偉,趙軍,盧海勝,等.基于鈣質校正的砂礫巖儲層巖性識別方法[J].測井技術,2020,(04):372-376.[doi:10.16489/j.issn.1004-1338.2020.04.011]
 WANG Yingwei,ZHAO Jun,LU Haisheng,et al.Lithologic Identification Method for Glutenite Reservoirs Based on Calcium Correction[J].WELL LOGGING TECHNOLOGY,2020,(04):372-376.[doi:10.16489/j.issn.1004-1338.2020.04.011]
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基于鈣質校正的砂礫巖儲層巖性識別方法()
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《測井技術》[ISSN:1004-1338/CN:61-1223/TE]

卷:
期數:
2020年04期
頁碼:
372-376
欄目:
解釋評價
出版日期:
2020-08-30

文章信息/Info

Title:
Lithologic Identification Method for Glutenite Reservoirs Based on Calcium Correction
文章編號:
1004-1338(2020)04-0372-05
作者:
王英偉1 趙軍2 盧海勝1 李維2 覃建華1 朱鍵1 錢根寶1
(1.中國石油新疆油田公司勘探開發研究院, 新疆 克拉瑪依 834000; 2.西南石油大學地球科學與技術學院, 四川 成都 610500)
Author(s):
WANG Yingwei1 ZHAO Jun2 LU Haisheng1 LI Wei2 QIN Jianhua1 ZHU Jian1 QIAN Genbao1
(1. Research Institute of Exploration and Development, Xinjiang Oilfield Company, CNPC, Karamay, Xinjiang 834000, China; 2. School of Geoscience and Technology, Southwest Petroleum University, Chengdu, Sichuan 610500, China)
關鍵詞:
巖性識別 鈣質含量 電阻率測井 密度測井 校正模型 決策樹算法
Keywords:
lithology identification calcium content resistivity logging density logging correction model C4.5 decision tree algorithm
分類號:
P631.84
DOI:
10.16489/j.issn.1004-1338.2020.04.011
文獻標志碼:
A
摘要:
摘要中涵蓋的相關技術領域信息決定論文是否錄用,征集含有高端技術和創新內容的論文,以致力于促進巖石物理學和地層評價發展,需避免商業宣傳。每篇摘要字數200~500字,不宜過長。所提交的摘要必須與發表論文的摘要相同,在提交之前,需同意滿足我們的相關期限要求。所有摘要和最終論文必須是用英文編寫
Abstract:
Conventional logging data of glutenite reservoir in X area Baikouquan formation are influenced by calcium content, which leads to a low accuracy of lithology identification. Based on the calcium content data from core analysis, the influence of calcium content on the resistivity and the density values of the reservoir is analyzed. The relationship between the ratio of deep lateral resistivity to density and the raito of calcium content to porosity is analyzed by using normalization treatment, and a calculation model for the calcium content of the reservoir is established. The effect of calcium content on reservoir resistivity is eliminated by using resistivity logarithm increasing rate method. On this basis, curves such as resistivity, density and gamma, which are sensitive to lithology, are selected to establish the lithologic identification model of decision tree by selecting sample data and applying C4.5 decision tree algorithm. The results show that the established decision tree model can better identify the reservoir lithology in the studied area, and the agreement of the identification results and core description is more than 83

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備注/Memo

備注/Memo:
(修改回稿日期: 2020-06-11 本文編輯 杜雪威)基金項目: 國家“十三五”重大專項子課題(2016ZX05002-002-009)“準噶爾盆地碎屑巖層系油氣富集規律與勘探評價”第一作者: 王英偉,男,1985年生,碩士,工程師,從事油藏評價、測井地質研究工作。E-mail:[email protected]通訊作者: 趙軍,男,1970年生,博士,教授,從事測井地質解釋研究工作。E-mail:[email protected]
更新日期/Last Update: 2020-08-25
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