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Sep 2026
High-Resolution Lithofacies Identification in Volcanically Influenced Lacustrine Shales: A Case Study of the Chang 73 Sub-Member, Yanchang Formation, East Gansu Area, Ordos Basin
Lithofacies identification in the Chang 73 Sub-Member is challenged by tephra input and thin interbeds, which distort conventional well logging responses and increase vertical heterogeneity. Consequently, classification based directly on conventional well logs is often unreliable for fine-scale reservoir characteriza...
Jia-Qi Li, Hong-Yan Yu, Liang Xiao
· SPE Journal · 0 citations
Conference
Oct 2026
Enhancing Lithological Interpretation: An Integrated Machine Learning Approach for Automated Log Classification in Volcanic Geothermal Reservoirs, Japan
Japan's volcanic geothermal reservoirs present significant subsurface characterization challenges due to complex lithological heterogeneity, extensive faulting, and fracture-controlled permeability. Conventional lithological evaluation often relies on adequate wireline and logging-while-drilling (LWD) measurements, d...
C. Morelli, K. Sato, X. Jiang et al.
· SPE Asia Pacific Oil & G... · 0 citations
Open access
Sep 2026
Volcanic Lithology Identification via Improved Random Forest with Conventional-Elemental-Logging Feature Interpolation: A Case of Block KL16-1
Conventional logging and elemental logging-based lithology identification for volcanic buried-hill reservoirs is hampered by overlapping logging responses, low vertical resolution of elemental measurements, and inter-sample class imbalance, which lead to unsatisfactory classification accuracy. Existing cross-plot empir...
Jia-Wei Guo, Peng-Yu Sun, You-Bin He
· Journal of Marine Science an... · 0 citations
Conference
Oct 2026
Supervised Reservoir Facies Classification for Pre-Paleogene Buried Hill Formation and Hydrocarbon Geological Significance, Offshore South China
The pre-Paleogene buried hills in the South China Sea are crucial succession of deep oil and gas reserves. Buried hill X, formed from a composite metamorphic sandstone and granite, is controlled by multiple phases of tectonic activity, exhibiting a well-developed fracture network but poor matrix properties. Effective...
Bo Liu, Jin-Bo Wu, Yong-De Gao et al.
· SPE Asia Pacific Oil & G... · 0 citations
Open access
Aug 2026
Multi-Attribute Clustering for Volcanic Facies Analysis: A Case Study in Block A12, Songliao Basin, China
Volcanic reservoirs exhibit strong lithological heterogeneity and complex seismic responses, making lithofacies prediction between wells challenging, particularly in the Yingcheng Formation of the Songliao Basin. To address this issue, this study proposes an integrated workflow for volcanic lithofacies prediction based...
Zong-Lin Xie, Rui-Xia Wen, Chang-Zhi Li
· Processes · 0 citations
Open access
Aug 2026
Litho-fluid facies prediction by integrating well logs and seismic attributes: a SMOTE-enhanced machine learning approach addressing class imbalance
As exploration efforts intensify, deep lithologic hydrocarbon reservoirs have emerged as principal objectives in hydrocarbon prospecting. Various types of hydrocarbon reservoirs, including shale, tight sandstone, and carbonate rock, are closely related to lithology. However, lithologic predictions alone provide incom...
Hua-Feng Hu, Li-Qiang Zhang, Lei Chen et al.
· Journal of Geophysics and En... · 0 citations