期刊
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
卷 35, 期 -, 页码 1336-1352出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jngse.2016.09.070
关键词
Gas hydrates; Numerical simulations; Geostatistical modeling; 3D heteroheneous reservoir simulations; Alaska's North Slope hydrate accumulations
资金
- National Energy Technology Laboratory [DE-FE0004000]
Gas production potential is estimated using a three-dimensional reservoir model based on gas hydrate deposits located in the Prudhoe Bay region of the Alaska's North Slope. The model incorporates two hydrate-bearing sand units using detailed reservoir geological and structural information obtained from past and recent drilling programs. Geostatistical porosity models, conditioned to log data from 78 wells drilled in the vicinity of the Prudhoe Bay L-Pad, were developed, providing 3D heterogeneity in porosity, porosity-dependent hydrate saturation, and intrinsic permeability. The simulations utilize both vertical and inclined wellbores to induce depressurization of the reservoir at a constant bottom-hole pressure. The results show the superior performance of the inclined well design. Average gas production rates during the first five years were similar to 6.0 x 10(4) ST m(3)/day (similar to 2.1 MMSCF/day) and similar to 2.7 x 10(4) ST m(3)/day (similar to 1.0 MMSCF/day) for incline and vertical wells, respectively. After 30 years 5.3 x 10(8) - 5.7 x 10(8) ST m(3) (18.6-20.2 BSCF) and 6.2 x 10(8) - 6.4 x 10(8) ST m(3) (22.0-22.7 BSCF) gas were produced using the vertical and inclined well configurations, respectively. The analysis reveals that 2D reservoir models with homogeneous representations for porosity and hydrate saturation significantly underestimate production potential. The heterogeneity implemented in this work provides complex porous network and preferential pathways for mobile phase flow to a producing well. Consequently, no secondary hydrate formation around a wellbore is predicted in contrast to models that utilize uniform porosity and hydrate saturation distributions. (C) 2016 Elsevier B.V. All rights reserved.
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