The anisotropic seepage analysis of water-sealed underground oil storage caverns

Chong, Yu; Deng, Shouchun; Li, H.B.; Li, J.C.; Xia, Xilin

doi:10.1016/j.tust.2013.05.003

Cited by 41 publications

(16 citation statements)

References 28 publications

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“…The higher the groundwater level is, the shallower the cave, which reduces construction time and cost. We select the maximum depth of the underground buried depth (Dw) as a quantitative evaluation index, and its maximum value is set as 100 m [19,25]. If the depth is greater than 100 m, the area is deemed unsuitable.…”

Section: Natural Water-sealed Conditionmentioning

confidence: 99%

AHP-Ideal Point Model for Large Underground Petroleum Storage Site Selection: An Engineering Application

Xue

Qiu

et al. 2017

Sustainability

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Scientific site selection can significantly reduce construction risk and cost during construction of underground petroleum storage. Based on the analytic hierarchy process (AHP) theory and ideal point theory, a new site selection model for large underground petroleum storage is established in this paper. Nine indicators are selected as evaluation indices, including joint development, natural water-sealed condition, rock mass strength, in situ stress, environmental ecological vulnerability, regional stability, technical and economic conditions, topography, and meteorological conditions. Based on AHP theory, the weight of each evaluation index is determined. Secondly, the positive and negative ideal solutions of these evaluation indices are determined using ideal point theory. The ideal point evaluation function of each evaluation index is built to calculate the degree of closeness for the evaluation samples. Finally, the accuracy of the model is verified by using the model to evaluate the first underground petroleum storage project in China. The results show that the first six indicators are main controlling factors, and the sum of their weight is 88.3%. The result of the evaluation site level is good (II), which is suitable for construction. Moreover, the feasibility and accuracy of the evaluation criteria, and evaluation method is verified after cooperation with the power coefficient method and expert evaluation method. The research results can provide some references to the site selection of similar key projects.

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Section: Natural Water-sealed Conditionmentioning

confidence: 99%

AHP-Ideal Point Model for Large Underground Petroleum Storage Site Selection: An Engineering Application

Xue

Qiu

et al. 2017

Sustainability

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“…Hydrocarbons seepage (especially crude oil) from underground unlined rock caverns to the surrounding saturated porous media is barely investigated in the literature [5,6]. In this paper prediction equations for the hydrocarbons (crude oil and gas) seepage value from the Iranian URCs in terms of m 3 /24 hr are represented using genetic programming based on the data gathered by numerical modelling of the hydrocarbon seepage for a variety of conditions using COMSOL and the two-phase mixture model formulation (see Supplementary Material available online at https://doi.org/10.1155/2017/6803294).…”

Section: Introductionmentioning

confidence: 99%

Application of Numerical Modelling and Genetic Programming in Hydrocarbon Seepage Prediction and Control for Crude Oil Storage Unlined Rock Caverns

et al. 2017

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Seepage control is a prerequisite for hydrocarbon storage in unlined rock caverns (URCs) where the seepage of stored products to the surrounding host rock and groundwater can cause serious environmental and financial problems. Practically seepage control is performed by permeability and hydrodynamic control methods. This paper employs numerical modelling and genetic programming (GP) for the purpose of seepage prediction and control method determination for the crude oil storage URCs based on the effective parameters including hydrogeologic characteristic of the rock and physicochemical properties of the hydrocarbons. Several levels for each parameter were considered and all the possible scenarios were modelled numerically for the two-phase mixture model formulation. The corresponding seepage values were evaluated to be used as genetic programming data base to generate representative equations for the hydrocarbon seepage value. The coefficients of determination ( 2 ) and relative percent errors of the proposed equations show their ability in the seepage prediction and permeability or hydrodynamic control method determination and design. The results can be used for crude oil storage URCs worldwide.

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“…At present, there are three types of methods used for this assessment: empirical or theoretical methods (Aberg, 1977;Goodall et al, 1998;SINOPEC, 2008), numerical methods (Kim et al, 2007;Sun and Zhao, 2010;Yu et al, 2013;Li et al, 2014;Wang et al, 2015aWang et al, , 2015b and experimental methods (Rehbinder et al, 1988;Lindblom, 1989;Cesano et al, 2000;Li et al, 2009;Perello et al, 2014;Wang et al, 2015c). Aberg (1977) conjectured that if the vertical hydraulic gradient around a storage cavern is greater than unity, then the stored petroleum gas will not leak through the surrounding host rock mass.…”

Section: Introductionmentioning

confidence: 99%

“…The results indicated that most calculated results based on in situ hydraulic tests and an assumed isotropic permeability could be used safely in a certain underground oil storage cavern project. Yu et al (2013) proposed a novel analytical method for calculating the anisotropic permeability tensor and used this method to model initial and subsequent seepage fields at the Dalian water-sealed underground oil storage caverns project. The results indicated that the design met the requirements regarding the groundwater level and vertical hydraulic gradient; although their distributions differ from each other during two different periods, the proposed method was acceptable for anisotropic seepage analysis.…”

Section: Introductionmentioning

confidence: 99%

Assessing containment properties of underground oil storage caverns: methods and a case study

Qiao

Wang

et al. 2017

Geosci J

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One of the most important issues in the construction of underground water-sealed oil storage caverns is the assessment of their containment properties. These properties depend on the hydrogeological condition and also engineering characteristics of the caverns. Conceptual hydrogeological model for assessing the containment properties of underground water-sealed oil storage caverns was developed. Empirical, numerical and experimental methods for assessing the containment properties were summarized. A principle for the selection of assessment methods was proposed for engineering application. It was proposed that the selected assessment method should be appropriate for the investigation stages, the research objectives and the parameters which have been determined. A five-stage flowchart for the assessment of containment properties of underground water-sealed oil storage caverns was developed. The set of assessment methods was applied to a pilot underground water-sealed oil storage facility in China. Empirical methods, fracture network method and field test methods were presented for the assessment of the containment properties of the cavern, while the other methods were introduced in previous studies.

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The anisotropic seepage analysis of water-sealed underground oil storage caverns

Cited by 41 publications

References 28 publications

AHP-Ideal Point Model for Large Underground Petroleum Storage Site Selection: An Engineering Application

AHP-Ideal Point Model for Large Underground Petroleum Storage Site Selection: An Engineering Application

Application of Numerical Modelling and Genetic Programming in Hydrocarbon Seepage Prediction and Control for Crude Oil Storage Unlined Rock Caverns

Assessing containment properties of underground oil storage caverns: methods and a case study

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