Quantitative well logging evaluation of diagenetic facies of deep and ultra deep tight sandstone reservoirs: A case study of Bozi-Dabei area in Kuqa Depression

Bashijiqike Formation in Bozi-Dabei area develops deep and ultra deep tight sandstone reservoirs. It is urgent to reveal the main controlling factors of reservoir quality and establish a matching well logging evaluation method for high quality reservoirs. In order to quantitatively evaluate the diag...

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Main Authors: Hongkun Liu, Yong Ai, Guiwen Wang, Kangjun Chen, Deyang Cai, Juntao Cao, Yuqiang Xie, Dong Li, Jin Lai
Format: Article
Language:zho
Published: Editorial Department of Bulletin of Geological Science and Technology 2023-01-01
Series:地质科技通报
Subjects:
Online Access:https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2022.0256
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author Hongkun Liu
Yong Ai
Guiwen Wang
Kangjun Chen
Deyang Cai
Juntao Cao
Yuqiang Xie
Dong Li
Jin Lai
author_facet Hongkun Liu
Yong Ai
Guiwen Wang
Kangjun Chen
Deyang Cai
Juntao Cao
Yuqiang Xie
Dong Li
Jin Lai
author_sort Hongkun Liu
collection DOAJ
description Bashijiqike Formation in Bozi-Dabei area develops deep and ultra deep tight sandstone reservoirs. It is urgent to reveal the main controlling factors of reservoir quality and establish a matching well logging evaluation method for high quality reservoirs. In order to quantitatively evaluate the diagenetic facies, based on the data of core, thin section, cast thin section and scanning electron microscope and etc., the petrology, physical properties, diagenesis types and intensity, diagenetic minerals and other characteristics of the tight reservoir of Bashijiqike Formation in Bozi-Dabei area were studied. Based on quantitative calculation of ompaction rate, cementation rate, dissolution pore content and comprehensive diagenetic coefficient, the diagenetic facies were classified according to characteristics of diagenesis intensity and its combination. The reservoirs can be divided into three types of diagenetic facies, i.e., medium compaction weak dissolution facies, carbonate cemented facies and compaction dense facies. Through the fitting analysis of thin section data and well logging data, the well logging calculation model of diagenetic comprehensive coefficient Cg was established, and the method of quantitative identification of reservoir diagenetic facies were established. The well logging data of Well X1, Well Y1 and etc were processed.The reliability of the model was verified by matching the identification results with physical property analysis and casting thin section. The establishment of well logging quantitative characterization method of diagenetic facies can provide guidance for "sweet spot" prediction.
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spelling doaj.art-a88f724c54b54178a5395ac49fea3b362024-03-05T02:56:00ZzhoEditorial Department of Bulletin of Geological Science and Technology地质科技通报2096-85232023-01-0142129931010.19509/j.cnki.dzkq.2022.0256dzkjtb-42-1-299Quantitative well logging evaluation of diagenetic facies of deep and ultra deep tight sandstone reservoirs: A case study of Bozi-Dabei area in Kuqa DepressionHongkun Liu0Yong Ai1Guiwen Wang2Kangjun Chen3Deyang Cai4Juntao Cao5Yuqiang Xie6Dong Li7Jin Lai8State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum(Beijing), Beijing 102249, ChinaResearch Institute of Petroleum Exploration and Development, Tarim Oilfield Company, CNPC, Korla Xinjiang 841000, ChinaState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum(Beijing), Beijing 102249, ChinaState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum(Beijing), Beijing 102249, ChinaResearch Institute of Petroleum Exploration and Development, Tarim Oilfield Company, CNPC, Korla Xinjiang 841000, ChinaResearch Institute of Petroleum Exploration and Development, Tarim Oilfield Company, CNPC, Korla Xinjiang 841000, ChinaState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum(Beijing), Beijing 102249, ChinaState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum(Beijing), Beijing 102249, ChinaState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum(Beijing), Beijing 102249, ChinaBashijiqike Formation in Bozi-Dabei area develops deep and ultra deep tight sandstone reservoirs. It is urgent to reveal the main controlling factors of reservoir quality and establish a matching well logging evaluation method for high quality reservoirs. In order to quantitatively evaluate the diagenetic facies, based on the data of core, thin section, cast thin section and scanning electron microscope and etc., the petrology, physical properties, diagenesis types and intensity, diagenetic minerals and other characteristics of the tight reservoir of Bashijiqike Formation in Bozi-Dabei area were studied. Based on quantitative calculation of ompaction rate, cementation rate, dissolution pore content and comprehensive diagenetic coefficient, the diagenetic facies were classified according to characteristics of diagenesis intensity and its combination. The reservoirs can be divided into three types of diagenetic facies, i.e., medium compaction weak dissolution facies, carbonate cemented facies and compaction dense facies. Through the fitting analysis of thin section data and well logging data, the well logging calculation model of diagenetic comprehensive coefficient Cg was established, and the method of quantitative identification of reservoir diagenetic facies were established. The well logging data of Well X1, Well Y1 and etc were processed.The reliability of the model was verified by matching the identification results with physical property analysis and casting thin section. The establishment of well logging quantitative characterization method of diagenetic facies can provide guidance for "sweet spot" prediction.https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2022.0256diagenetic faciesdiagenetic comprehensive coefficientlogging recognitionbozi-dabei wellblockbashijiqike formationdeep and ultra deep tight sandstone reservoirs
spellingShingle Hongkun Liu
Yong Ai
Guiwen Wang
Kangjun Chen
Deyang Cai
Juntao Cao
Yuqiang Xie
Dong Li
Jin Lai
Quantitative well logging evaluation of diagenetic facies of deep and ultra deep tight sandstone reservoirs: A case study of Bozi-Dabei area in Kuqa Depression
地质科技通报
diagenetic facies
diagenetic comprehensive coefficient
logging recognition
bozi-dabei wellblock
bashijiqike formation
deep and ultra deep tight sandstone reservoirs
title Quantitative well logging evaluation of diagenetic facies of deep and ultra deep tight sandstone reservoirs: A case study of Bozi-Dabei area in Kuqa Depression
title_full Quantitative well logging evaluation of diagenetic facies of deep and ultra deep tight sandstone reservoirs: A case study of Bozi-Dabei area in Kuqa Depression
title_fullStr Quantitative well logging evaluation of diagenetic facies of deep and ultra deep tight sandstone reservoirs: A case study of Bozi-Dabei area in Kuqa Depression
title_full_unstemmed Quantitative well logging evaluation of diagenetic facies of deep and ultra deep tight sandstone reservoirs: A case study of Bozi-Dabei area in Kuqa Depression
title_short Quantitative well logging evaluation of diagenetic facies of deep and ultra deep tight sandstone reservoirs: A case study of Bozi-Dabei area in Kuqa Depression
title_sort quantitative well logging evaluation of diagenetic facies of deep and ultra deep tight sandstone reservoirs a case study of bozi dabei area in kuqa depression
topic diagenetic facies
diagenetic comprehensive coefficient
logging recognition
bozi-dabei wellblock
bashijiqike formation
deep and ultra deep tight sandstone reservoirs
url https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2022.0256
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