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Published in: Environmental Earth Sciences 1/2019

01-01-2019 | Thematic Issue

Detection of low-efficiency zones of water curtain system for underground LPG storage by a discrete fracture network model

Authors: Cheng Hu, Huali Chen, Gang Chen, Jinghua Liu

Published in: Environmental Earth Sciences | Issue 1/2019

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Abstract

Water curtain system is the key architecture to maintain the hydrodynamic containment of underground storage for liquefied petroleum gas in unlined rock caverns. Additional water curtain boreholes have to be drilled and tested to eliminate any low-efficiency zone. The drilling and testing is, however, a time-consuming and costing job. In this paper, statistical characteristics of fractures (joints, bedding planes, or even faults) obtained at different phases of the project (e.g., site investigation phase and underground excavation phase) are input to a discrete fracture network model to generate realizations representing the fracture network of the considered domain (500 m × 250 m × 200 m). A grid system is created for the domain with the cell size of 50 m × 50 m × 50 m. Based on the Cubic Law, a 3D equivalent hydraulic conductivity field is obtained. With the parameter of the Low-Efficiency Index (LEInd), criteria are created to help identify the low-efficiency areas based on the hydraulic conductivity field. The predictions of the low-efficiency zones are then cross checked with the actual water curtain efficiency test results. Four out of five predicted low-efficiency cells were proved to be fully or partly matched with the results identified from the water curtain efficiency test. This work can help to determine the reasonable water curtain borehole layout spacing during the design phase, thus effectively reduce the water curtain boreholes drilling workload after the test, shorten the construction period, and reduce the engineering cost.

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Metadata
Title
Detection of low-efficiency zones of water curtain system for underground LPG storage by a discrete fracture network model
Authors
Cheng Hu
Huali Chen
Gang Chen
Jinghua Liu
Publication date
01-01-2019
Publisher
Springer Berlin Heidelberg
Published in
Environmental Earth Sciences / Issue 1/2019
Print ISSN: 1866-6280
Electronic ISSN: 1866-6299
DOI
https://doi.org/10.1007/s12665-018-8006-1

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