Energy Production Potential of Ultra-Deep Reservoirs in Keshen Gas Field, Tarim Basin: From the Perspective of Prediction of Effective Reservoir Rocks

The identification and prediction of effective reservoir rocks are important for evaluating the energy production potential of ultra-deep tight sandstone reservoirs. Taking the Keshen gas field, Tarim Basin, as an example, three distinct petrofacies are divided according to petrology, pores, and dia...

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Main Authors: Zhida Liu, Xianqiang Song, Xiaofei Fu, Xiaorong Luo, Haixue Wang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Energies
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Online Access:https://www.mdpi.com/1996-1073/18/11/2913
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author Zhida Liu
Xianqiang Song
Xiaofei Fu
Xiaorong Luo
Haixue Wang
author_facet Zhida Liu
Xianqiang Song
Xiaofei Fu
Xiaorong Luo
Haixue Wang
author_sort Zhida Liu
collection DOAJ
description The identification and prediction of effective reservoir rocks are important for evaluating the energy production potential of ultra-deep tight sandstone reservoirs. Taking the Keshen gas field, Tarim Basin, as an example, three distinct petrofacies are divided according to petrology, pores, and diagenesis. Petrofacies, well logs, and factor analysis are combined to predict effective reservoir rocks. We find that petrofacies A has a relatively coarse grain size, moderate mechanical compaction, diverse but low-abundance authigenic minerals, and well-developed primary and secondary pores. It is an effective reservoir rock. Petrofacies B and petrofacies C are tight sandstones with a poorly developed pore system and almost no dissolution. Petrofacies B features abundant compaction-susceptible ductile grains, intense mechanical compaction, and underdeveloped authigenic minerals, while petrofacies C features pervasive carbonate cementation with a poikilotopic texture. We combine well logging with gamma ray, acoustic, bulk density, neutron porosity, resistivity, and factor analyses to facilitate the development of petrofacies prediction models. The models reveal interbedded architecture where effective reservoir rocks are interbedded with tight sandstone, resulting in the restricted connectivity and pronounced reservoir heterogeneity. Classifying and combining well logs with a factor analysis to predict petrofacies provide an effective means for evaluating the energy potential of ultra-deep reservoirs.
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spelling doaj-art-70b4d19f2ae14541a79e229ce38984df2025-08-20T03:11:18ZengMDPI AGEnergies1996-10732025-06-011811291310.3390/en18112913Energy Production Potential of Ultra-Deep Reservoirs in Keshen Gas Field, Tarim Basin: From the Perspective of Prediction of Effective Reservoir RocksZhida Liu0Xianqiang Song1Xiaofei Fu2Xiaorong Luo3Haixue Wang4National Key Laboratory of Continental Shale Oil, Northeast Petroleum University, Daqing 163318, ChinaLaboratory of CNPC Fault Controlling Reservoir, Northeast Petroleum University, Daqing 163318, ChinaNational Key Laboratory of Continental Shale Oil, Northeast Petroleum University, Daqing 163318, ChinaNational Key Laboratory of Continental Shale Oil, Northeast Petroleum University, Daqing 163318, ChinaNational Key Laboratory of Continental Shale Oil, Northeast Petroleum University, Daqing 163318, ChinaThe identification and prediction of effective reservoir rocks are important for evaluating the energy production potential of ultra-deep tight sandstone reservoirs. Taking the Keshen gas field, Tarim Basin, as an example, three distinct petrofacies are divided according to petrology, pores, and diagenesis. Petrofacies, well logs, and factor analysis are combined to predict effective reservoir rocks. We find that petrofacies A has a relatively coarse grain size, moderate mechanical compaction, diverse but low-abundance authigenic minerals, and well-developed primary and secondary pores. It is an effective reservoir rock. Petrofacies B and petrofacies C are tight sandstones with a poorly developed pore system and almost no dissolution. Petrofacies B features abundant compaction-susceptible ductile grains, intense mechanical compaction, and underdeveloped authigenic minerals, while petrofacies C features pervasive carbonate cementation with a poikilotopic texture. We combine well logging with gamma ray, acoustic, bulk density, neutron porosity, resistivity, and factor analyses to facilitate the development of petrofacies prediction models. The models reveal interbedded architecture where effective reservoir rocks are interbedded with tight sandstone, resulting in the restricted connectivity and pronounced reservoir heterogeneity. Classifying and combining well logs with a factor analysis to predict petrofacies provide an effective means for evaluating the energy potential of ultra-deep reservoirs.https://www.mdpi.com/1996-1073/18/11/2913ultra-deep sandstone gas reservoirseffective reservoir rockwell logsfactor analysistarim basin
spellingShingle Zhida Liu
Xianqiang Song
Xiaofei Fu
Xiaorong Luo
Haixue Wang
Energy Production Potential of Ultra-Deep Reservoirs in Keshen Gas Field, Tarim Basin: From the Perspective of Prediction of Effective Reservoir Rocks
Energies
ultra-deep sandstone gas reservoirs
effective reservoir rock
well logs
factor analysis
tarim basin
title Energy Production Potential of Ultra-Deep Reservoirs in Keshen Gas Field, Tarim Basin: From the Perspective of Prediction of Effective Reservoir Rocks
title_full Energy Production Potential of Ultra-Deep Reservoirs in Keshen Gas Field, Tarim Basin: From the Perspective of Prediction of Effective Reservoir Rocks
title_fullStr Energy Production Potential of Ultra-Deep Reservoirs in Keshen Gas Field, Tarim Basin: From the Perspective of Prediction of Effective Reservoir Rocks
title_full_unstemmed Energy Production Potential of Ultra-Deep Reservoirs in Keshen Gas Field, Tarim Basin: From the Perspective of Prediction of Effective Reservoir Rocks
title_short Energy Production Potential of Ultra-Deep Reservoirs in Keshen Gas Field, Tarim Basin: From the Perspective of Prediction of Effective Reservoir Rocks
title_sort energy production potential of ultra deep reservoirs in keshen gas field tarim basin from the perspective of prediction of effective reservoir rocks
topic ultra-deep sandstone gas reservoirs
effective reservoir rock
well logs
factor analysis
tarim basin
url https://www.mdpi.com/1996-1073/18/11/2913
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