reservoir permeability is a critical parameter for characterization of the hydrocarbon reservoirs. in fact, determination of permeability is a crucial task in reserve estimation, production and development. traditional methods for permeability prediction are well log and core data analysis which are very expensive and time-consuming. well log data is an alternative approach for prediction of pe...

Received: August 22, 2016 Revised: February 07, 2017 Accepted: March 10, 2017 Abstract: Background: Tight sandstone reservoirs play an important role in the oil industry. The permeability of tight sandstone reservoir generally has stronger stress sensitivity than that of conventional reservoir because of the latter’s poor physical properties. However, the production analysis of tight sandstone ...

Information on the distribution of permeability at depth is of primary concern in geothermal reservoir engineering. Based on a tracer circulation test performed at the European Enhanced Geothermal System (EGS) test site at Soultz-sous-Forêts, France, three different inversion methods are applied and studied with respect to their potential for estimating the permeability distribution: A fully ph...

Machine learning has a significant advantage for many difficulties in the oil and gas industry, especially when it comes to resolving complex challenges reservoir characterization. Permeability is one of most difficult petrophysical parameters predict using conventional logging techniques. Clarifications work flow methodology are presented alongside comprehensive models this study. The purpose ...

Knowledge of the distribution of permeability and porosity in a reservoir is necessary for the prediction of future oil production, estimation of the location of bypassed oil, and optimization of reservoir management. But while the volume of data that can potentially provide information on reservoir architecture and fluid distributions has increased enormously in the past decade, it is not yet ...

The need for solving the problem of identification of basic parameters (permeability coefficients, initial and boundary conditions) for hydrodynamic models of reservoirs on retrospective data arises from incompleteness and observational errors in source and current information about controlled object at all stages of reservoir engineering. Iterative methods for simultaneous solving of direct an...

Numerical Modeling of Thermal EOR: Comprehensive Coupling of an AMR-Based Model of Thermal Fluid Flow and Geomechanics — Modeling Steam Assisted Gravity Drainage (SAGD) can involve significant CPU (Central Processing Unit) time when both thermal fluid flow and geomechanics are coupled in order to take into account variations of permeability and porosity inside the reservoir due to stress change...

A mature understanding of the sandstone gas reservoir in the Xiaoheba Formation in the southeastern Sichuan Basin remains lacking. To assess the reservoir characteristics and the origin of the high-quality reservoir in the Xiaoheba Formation, this paper uses systematic field investigations, physical property analysis, thin section identification, scanning electron microscopy and electron microp...

This paper proposes a method for quantitative integration of seismic (elastic) anisotropy attributes with reservoir performance data as an aid in characterization of systems of natural fractures in hydrocarbon reservoirs. This method is demonstrated through application to history matching of reservoir performance using synthetic test cases. Discrete Feature Network (DFN) modeling (Dershowitz et...