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验证码:

Iraj Ershaghi

职称:Omar B. Milligan Professor, Director Of Petroleum Engineering Program, Executive Director Of Cisoft, And Executive Director Of Ukc

所属学校:University of Southern California

所属院系:Chemical Engineering and Materials Science

所属专业:Materials Science

联系方式:(213) 740-0321

简介

Ph.D., Petroleum Engineering, University of Southern California, 1972 M.S., Petroleum Engineering, University of Southern California, 1968 B.S., Petroleum Engineering, University of Tehran, Iran, 1965

职业经历

* Smart Oilfield Technologies .Naturally Fractured Reservoirs * Pressure Transient Modeling * Reservoir Characterization and Compartmentalized Systems Conditioning of Stochastic Reservoir Models with Performance Data Simulations of transport processes in complex geological structure require detailed microlamination studies and inter-flow unit characterization. Synergistic approaches to combine signals from pressure transients and performance data for correlation of geological markers are being developed. Heterogeneities in subterranean reservoirs associated with faults need to be characterized. Multiple interference tests can potentially provide a significant insight into lateral and vertical communications. Predictive models are being developed to examine the impact of fault zones in terms of their transmissivities on pressure transient tests. Various conceptual models should be scrutinized to minimize the non-uniqueness of the predictive process. Geostatistical Methods Techniques are being developed for short to long range characterization of flow units using stochastic modeling of reservoir response. Geostatistical models are developed for a variety of sedimentation processes. Studies are in progress to model discontinuities commonly observed in turbidite series. A combination of sequence stratigraphy, geological modeling, and geostatistical technique are necessary to examine discontinuity of flow units and crossflow across such units. A major concern in stochastic modeling of subterranean reservoirs is history matching methods that can capture the essence of various geological realization models. Without an effective dynamic programming approach, the process can become computationally cumbersome. Complexity of the problem becomes more intense when finely girded structures are selected to represent detail flow unit heterogeneities. Studies are underway to develop methodologies for addressing the history matching for stochastic models. Fractured Reservoirs Multi-phase flow and pressure transient response characteristics of complex fractured rocks are being investigated. Improvements for scale-up processes of laboratory-derived pseudo-properties to large scale networks of fracture are being developed. Process related recovery issues are examined for systems exhibiting multiple porosity behaviors. Interporosity characteristics of tight rocks are being examined for various system properties. Predictive techniques are being developed for recovery processes in fractured systems under the influence of steam, solvent, and low tension floods. Well Productivity Improvement Studies are underway to develop effective methods for augmenting lift mechanisms in low pressure reservoirs. Initial studies are focused on low pressure gas reservoirs as affected by liquid loading. Integrated Asset Mangement Collaborative studies are underway addressing the issues related to data mining of massive data from continuously recorded sensors, asset component definition and diagnostics for detection of reservoir flow units.

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