收藏切换
A methodology for favorable area evaluation of tight sandstone reservoirs integrating combined weighting and cloud model approaches: a case study of X subunit of the Member 3 of Qingshankou Formation, Qianshen Block,southern Songliao Basin
收藏切换
Tengyu WANG1, 2, Zhidong BAO1, 2, Zhongcheng LI3, Haotian HAN1, 3, Zhenchang JIANG1, 3, Lei LI4, Changsheng XIA1, 2, Changjian OU1, 2, Weize LIU1, 2, Tao ZHANG1, 2
Journal of Palaeogeography (Chinese Edition) | 2026, 28(2) : 800 - 813
Less
收藏切换
Journal of Palaeogeography (Chinese Edition) | 2026, 28(2): 800-813
• NEW TECHONOLOGY AND NEW METHOD •
A methodology for favorable area evaluation of tight sandstone reservoirs integrating combined weighting and cloud model approaches: a case study of X subunit of the Member 3 of Qingshankou Formation, Qianshen Block,southern Songliao Basin
Full
Tengyu WANG1, 2, Zhidong BAO1, 2, Zhongcheng LI3, Haotian HAN1, 3, Zhenchang JIANG1, 3, Lei LI4, Changsheng XIA1, 2, Changjian OU1, 2, Weize LIU1, 2, Tao ZHANG1, 2
Affiliations
  • 1 College of Geosciences,China University of Petroleum(Beijing),Beijing 102249,China
  • 2 State Key Laboratory of Deep Geothermal Resources,China University of Petroleum(Beijing),Beijing 102249,China
  • 3 Exploration and Development Research Institute,Jilin Oilfield Company,PetroChina,Jilin Songyuan 138000,China
  • 4 College of Earth Sciences,Northeast Petroleum University,Heilongjiang Daqing 163318,China
  • WANG Tengyu,born in 1996,is a Ph.D. candidate. He is currently engaged in sedimentary research. E-mail: .

About Author:

WANG Tengyu,born in 1996,is a Ph.D. candidate. He is currently engaged in sedimentary research. E-mail: .

Published: 2026-04-01 doi: 10.7605/gdlxb.2026.085
Outline
收藏切换

To reduce the subjectivity in indicator weighting and the fuzziness of grading criteria in favorable area evaluation of tight sandstone reservoirs,we develop an integrated method that couples combined weighting with a normal cloud model,and apply it to the X subunit of the Member 3 of the Qingshankou Formation(Q3)in the Qianshen Block,southern Songliao Basin. First,subjective weights are derived from expert judgment using the Analytic Hierarchy Process(AHP). Objective weights are then obtained from the dataset using the CRITIC method. The two sets of weights are finally integrated to produce combined weights,improving both geological rationality and data-driven objectivity. Meanwhile,a normal cloud model is introduced to characterize uncertainty during grade assignment. Standard cloud parameters—expectation(Ex),entropy(En),and hyper-entropy(He)—are determined from the score intervals of evaluation grades under constraints of a boundary membership threshold,enabling a flexible mapping between evaluation grades and measured data. Results show that sedimentary facies belt,oil-bearing property,and effective thickness are the dominant controls on favorable areas,with combined weights of 0.253,0.182,and 0.124,respectively. Evaluation of 20 wells identifies 12 wells for Class Ⅰ,five wells for Class Ⅱ,and three wells for Class Ⅲ wells;the outcomes show 95% agreement with previous interpretations,with a Cohen’s kappa coefficient(κ)of 0.91. The method therefore provides a practical and reliable tool for favorable area evaluation of tight sandstone reservoirs.

favorable area evaluation  /  AHP-CRITIC combined weighting method  /  cloud model  /  Songliao Basin
王腾宇, 鲍志东, 李忠诚, 韩昊天, 姜振昌, 李磊, 夏昌盛, 欧长健, 刘维则, 张淘. 基于组合赋权法与云模型的致密砂岩储集层有利区评价方法研究:以松辽盆地南部乾深区块青三段x小层为例*. 古地理学报, 2026 , 28 (2) : 800 -813 . DOI: 10.7605/gdlxb.2026.085
Tengyu WANG, Zhidong BAO, Zhongcheng LI, Haotian HAN, Zhenchang JIANG, Lei LI, Changsheng XIA, Changjian OU, Weize LIU, Tao ZHANG. A methodology for favorable area evaluation of tight sandstone reservoirs integrating combined weighting and cloud model approaches: a case study of X subunit of the Member 3 of Qingshankou Formation, Qianshen Block,southern Songliao Basin[J]. Journal of Palaeogeography (Chinese Edition), 2026 , 28 (2) : 800 -813 . DOI: 10.7605/gdlxb.2026.085
  • National Science and Technology Major Project for Deep Underground(2024ZD1003604)
  • National Key Research and Development Program of China(2017YFC0603104)
  • National Key Research and Development Program of China(2018YFC0604304)
  • Project of the Exploration and Development Research Institute of Jilin Oilfield,PetroChina(JLYT-YJY-2024-FW-13)
Year 2026 volume 28 Issue 2
324
154
Cite this Article
BibTeX
Article Info
doi: 10.7605/gdlxb.2026.085
  • Receive Date:2025-11-18
  • Online Date:2026-09-24
  • Published:2026-04-01
Article Data
Affiliations
History
  • Received:2025-11-18
  • Revised:2026-01-20
Funding
National Science and Technology Major Project for Deep Underground(2024ZD1003604)
National Key Research and Development Program of China(2017YFC0603104)
National Key Research and Development Program of China(2018YFC0604304)
Project of the Exploration and Development Research Institute of Jilin Oilfield,PetroChina(JLYT-YJY-2024-FW-13)
Affiliations
    1 College of Geosciences,China University of Petroleum(Beijing),Beijing 102249,China
    2 State Key Laboratory of Deep Geothermal Resources,China University of Petroleum(Beijing),Beijing 102249,China
    3 Exploration and Development Research Institute,Jilin Oilfield Company,PetroChina,Jilin Songyuan 138000,China
    4 College of Earth Sciences,Northeast Petroleum University,Heilongjiang Daqing 163318,China

Corresponding:

BAO Zhidong,born in 1964,is a professor and supervisor of the Ph.D. candidate. He is mainly engaged in research on sedimentology and lithofacies palaeogeography,reservoir geology and reservoir description. E-mail: .
References
Share
https://castjournals.cast.org.cn/joweb/gdlxb/EN/10.7605/gdlxb.2026.085
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT