[1]王俊,張超謨.中東地區碳酸鹽巖儲層孔隙結構與分類評價[J].測井技術,2019,43(06):631-635.[doi:10.16489/j.issn.1004-1338.2019.06.015]
 WANG Jun,ZHANG Chaomo.Structures and Classification of Carbonate Reservoirs in the Middle East[J].WELL LOGGING TECHNOLOGY,2019,43(06):631-635.[doi:10.16489/j.issn.1004-1338.2019.06.015]
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中東地區碳酸鹽巖儲層孔隙結構與分類評價()
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《測井技術》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第43卷
期數:
2019年06期
頁碼:
631-635
欄目:
解釋評價
出版日期:
2019-12-15

文章信息/Info

Title:
Structures and Classification of Carbonate Reservoirs in the Middle East
文章編號:
1004-1338(2019)06-0631-05
作者:
王俊1張超謨12
(1.長江大學地球物理與石油資源學院,湖北武漢430100;2.長江大學油氣資源與勘探技術教育部重點實驗室,湖北荊州434023)
Author(s):
WANG Jun1 ZHANG Chaomo12
(1. College of Geophysics and Petroleum Resources, Yangtze University, Wuhan, Hubei 430100, China; 2. Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Ysngtze University, Wuhan, Hubei 430100, China)
關鍵詞:
儲層分類碳酸鹽巖二階聚類孔隙結構儲層參數分類逐步判別分析
Keywords:
reservoir classification carbonate rock second-order clustering pore structure reservoir parameter classification stepwise discrimination and analysis
分類號:
TE122.2
DOI:
10.16489/j.issn.1004-1338.2019.06.015
文獻標志碼:
A
摘要:
通過對研究區巖心描述、壓汞實驗、鑄體薄片等資料進行分析,優選出孔隙度、滲透率、排驅壓力、最大進汞飽和度等9種參數,結合SPSS二階聚類法將研究區碳酸鹽巖儲層孔隙結構劃分為3個類型。Ⅰ類為差儲層,壓汞曲線平臺明顯,以單峰分布為主,整體連通性較差;Ⅱ類儲層中等發育,儲集空間以鑄模孔為主,同時發育有粒間、粒內溶孔和少量裂縫;Ⅲ類儲層為研究區優質儲層,主要發育有粒間孔和連通鑄模孔,整體連通性較好。采用逐步判別分析檢驗并建立函數,分類結果準確率達到98.1%。
Abstract:
Based on core description, mercury injection experiments and casting thin sections nine parameters are optimized, including the porosity, permeability, displacement pressure and maximum mercury saturation in the study area, then the carbonate reservoirs are divided into three classes according to the pore structures by the SPSS second-order clustering method. The first class is poor reservoirs which mercury injection curve has an obvious platform and single peaks, and the overall connectivity is poor Class II reservoirs are moderately developed, and the reservoir space is mainly composed of mold pores and less intergranular and intragranular dissolution pores and fractures. Class III reservoirs are the best in the study area. They have intergranular pores and connected mold pores. The overall connectivity is good. Through stepwise discrimination and analysis and establishing classification functions, we can get the accuracy of classification results up to 98.1%.

參考文獻/References:

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備注/Memo

備注/Memo:
第一作者:王俊,女,1994年生,碩士研究生,從事測井處理與綜合解釋工作。E-mail:[email protected](收稿日期: 2019-04-30本文編輯王小寧)
更新日期/Last Update: 2019-12-15
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