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Comprehensive reservoir evaluation requires determination of irreducible fluids, movable fluids and permeability.
Comprehensive reservoir simulation should be employed to provide an optimal fluid production scheme and to maximize the sustainability in the development of a hydrothermal field.
Combining with the evolution of reservoir pore, this paper also attempts to reveal the development pattern between diagenetic influence and reservoir pore evolution so as to carry out comprehensive reservoir evaluation and prediction of favorable area in study area.
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You et al. (2014) analyzed the comprehensive classification reservoir's producing conditions during the ultra-high water cut developing phase based on multilevel fuzzy comprehensive evaluation mathematics method.
The objectives of this comprehensive research entail reservoir core analysis, reservoir fluid study, investigation and optimization of improved condensate recovery during gas storage processes in one of Iranian-depleted fractured gas condensate reservoir.
To establish the comprehensive model for reservoir macro-parameters time-variability, the impact of different reservoir micro-parameters' variation on macro-parameters such as porosity, permeability, and relative permeability should be studied primarily using network modeling (Hou et al. 2011a, b).
A comprehensive understanding of reservoir quality and characterization is improved with a qualitative and quantitative well log analysis.
The USACE Hydrologic Engineering Center (1991) presents a comprehensive review of reservoir system modeling (including HEC-5) and analysis approaches.
On the basis of the actual geological characteristics and developed characteristics of the reservoir, comprehensive evaluation of evaluation index classification standard was proposed.
Therefore, this paper presents a comprehensive approach to reservoir characterization which would eventually lead to fully understanding the resource play as well as accurately identifying sweet spots for well placement and improved hydrocarbon recovery.
We present the most comprehensive natural CO2 reservoir dataset compiled to date, containing 76 naturally occurring natural CO2 stores, located in a range of geological environments around the world.
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