Well logging evaluation of clastic reservoir productivity in the Wulanhua depression, Hailaer basin, China

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Authors: Xianhua Huang, Houjiang Fan, Jianru Tang, Jialin Zhao, Jin Li
Cited by: 0
References: 34

Abstract

Productivity evaluations are essential for reservoir characterization and development, particularly in low-porosity and low-permeability clastic systems. In the Wulanhua (WH) depression of the Hailaer basin in China, most reservoirs exhibit porosities below 15% and permeabilities lower than 100 × 10 −3 μm 2 , posing significant challenges for reliable productivity prediction. To address this, a multisource tiered evaluation approach is proposed herein that integrates mercury injection capillary pressure, nuclear magnetic resonance (NMR), and conventional well logging data. Quantitative analysis shows that reservoirs with mean pore-throat radii greater than 0.12 μm and displacement pressures below 5 MPa generally achieve natural productivities above 20 t/d, whereas those with radii below 0.05 μm require stimulation to reach industrial levels. NMR-based parameters, including an S 2 + S 3 pore fraction exceeding 65% and a T 2 geometric mean time greater than 20 ms, correspond to high-yield zones (>15 t/d). When only conventional logs are available, deep resistivity (>20 Ω·m), low natural gamma (

Fields of Study & Subjects

Hydrocarbon exploration and reservoir analysis Reservoir Engineering and Simulation Methods Enhanced Oil Recovery Techniques

Publication details

Journal / source
Frontiers in Earth Science
Volume
13
Publication date
12 January 2026
Language
EN