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Dive into the research topics where Mahdy Shirdel is active.

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Featured researches published by Mahdy Shirdel.


SPE International Production and Operations Conference & Exhibition | 2012

Impedance Analysis as a Tool for Hydraulic Fracture Diagnostics in Unconventional Reservoirs

Amir Reza Rahmani; Mahdy Shirdel

Production from unconventional reservoirs plays a key role in supplying hydrocarbon to the worlds increasing energy demand. Hydraulic fracturing is one of the most advancing technologies in producing hydrocarbon from low-permeability reservoirs, especially in tight and shale formations. The geometric properties of a hydraulic fracture affect significantly the production rate from these stimulated reservoirs. Therefore, it is of utmost importance to characterize the geometric features of hydraulically-induced fractures during stimulation processes. The geometric properties of a hydraulic fracture change with fracture evolution due to stress propagation along the cracks. We have modeled such a system based on the analogy between fluidic and electric circuits. The model takes into account the dynamic alteration of hydrodynamic impedance of the fracture. The hydrodynamic impedance controls the relation between the fracture fluid flow rate and pressure drop during stimulation process. The proposed model incorporates the effects of both hydrodynamic capacitance and resistance of the fracture and the wellbore to compute the fracture impedance. Downhole measurements of pressure and flow rate can explicitly determine the hydrodynamic impedance of the fracture. Fracture impedance can also be implicitly inferred from wellhead pressure and flow rate measurements. The pulsatile nature of hydraulic fracturing treatment makes it sensible to utilize the wellhead data for the purpose of impedance monitoring based on the electromagnetic transmission line theory. We have performed extensive sensitivity analyses on the most important parameters of a single hydraulic fracture for assessing fracture impedance. These parameters include fracture thickness, fracture radial extent, and fracture shape. Through sensitivity analyses results and real-time measurement of fracture impedance, we infer the basic geometric properties of a hydraulic fracture. This research has led to an analytical approach for evaluating hydraulic fractures geometric characteristics. The approach builds an intuition toward better understanding how to design hydraulic fractures in a more efficient fashion.


Canadian Unconventional Resources Conference | 2011

A Triple Porosity Model for Shale Gas Reservoirs

Hassan Dehghanpour; Mahdy Shirdel


Journal of Petroleum Science and Engineering | 2012

Evaluation and comparison of different models for asphaltene particle deposition in flow streams

Mahdy Shirdel; D.M. Paes; Paulo Roberto Ribeiro; Kamy Sepehrnoori


19th SPE Improved Oil Recovery Symposium, IOR 2014 | 2014

Aspects of modeling asphaltene deposition in a compositional coupled wellbore/reservoir simulator

Hamed Darabi; Mahdy Shirdel; M. Hosein Kalaei; Kamy Sepehrnoori


SPE Western Regional Meeting 2015: Old Horizons, New Horizons Through Enabling Technology | 2015

Modeling Asphaltene Deposition in the Wellbore During Gas Lift Process

Ali Abouie; Mahdy Shirdel; Hamed Darabi; Kamy Sepehrnoori


SPE Annual Technical Conference and Exhibition | 2009

Development of a Coupled Compositional Wellbore/Reservoir Simulator for Modeling Pressure and Temperature Distribution in Horizontal Wells

Mahdy Shirdel; Kamy Sepehrnoori


Journal of Petroleum Science and Engineering | 2015

Study of asphaltene deposition in wellbores during turbulent flow

D.M. Paes; Paulo Roberto Ribeiro; Mahdy Shirdel; Kamy Sepehrnoori


Spe Journal | 2012

Development of a Transient Mechanistic Two-Phase Flow Model for Wellbores

Mahdy Shirdel; Kamy Sepehrnoori


Spe Journal | 2017

Comprehensive Modeling of Scale Deposition by Use of a Coupled Geochemical and Compositional Wellbore Simulator

Ali Abouie; Aboulghasem Kazemi Nia Korrani; Mahdy Shirdel; Kamy Sepehrnoori


Archive | 2016

METHODS, APPARATUS, AND SYSTEMS FOR STEAM FLOW PROFILING

Mahdy Shirdel; Mike Wells; Richard Scott Buell; Jackie C. Sims

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Kamy Sepehrnoori

University of Texas at Austin

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Ali Abouie

University of Texas at Austin

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Hamed Darabi

University of Texas at Austin

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M. Hosein Kalaei

University of Texas at Austin

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D.M. Paes

State University of Campinas

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