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Dive into the research topics where Danial Kaviani is active.

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Featured researches published by Danial Kaviani.


SPE/EAGE European Unconventional Resources Conference & Exhibition - From Potential to Production | 2012

Evaluation of Recovery Performance of Miscible Displacement and WAG Processes in Tight Oil Formations

Seyyed M. Ghaderi; Christopher R. Clarkson; Danial Kaviani

Recent advances in well design and production techniques have brought considerable attention to exploitation of tight (low permeability, absolute permeability <1 mD) oil resources. Drilling of long horizontal wells and deployment of hydraulic fractures along these wells (multi-fractured horizontal wells) can substantially improve the primary production rates from such reservoirs. Nevertheless, the low effective permeability of the formation to oil hinders the sustainability of favorable oil rates and at some point applying some EOR technique becomes inevitable. In the current study, CO2 miscible flooding and WAG processes in a tight oil reservoir are investigated. Although several studies have investigated different aspects of the process in conventional oil plays, the design of an effective scheme in tight oil formations is more complex. These complexities are related to the proper design of the fractures (half-length, permeability, direction (transverse vs. longitudinal), etc.) and their relative arrangement in producers and injectors and the operational constraints on each well or segment of the well. In this work, we utilize an innovative EOR scheme design where multi-fractured horizontal wells are used for both injection and production, and the hydraulic fracturing stages are staggered to delay breakthrough and improve sweep efficiency. For a set of defined parameters, compositional simulations are conducted to optimize the WAG ratio and cycle length and injection starting point (in time) for the model. The recovery associated with EOR is compared with its corresponding base case model in which all wells are producing under primary recovery for the whole life of the reservoir. The results of this study show that the primary recovery factors (5-15%) can be increased to 25-35% under optimum flooding conditions, considering a reasonable economic framework.


North American Unconventional Gas Conference and Exhibition | 2011

Production Analysis of Tight Gas and Shale Gas Reservoirs Using the Dynamic-Slippage Concept

Christopher R. Clarkson; Morteza Nobakht; Danial Kaviani; Turgay Ertekin


Spe Journal | 2012

Production Analysis of Tight-Gas and Shale-Gas Reservoirs Using the Dynamic-Slippage Concept

Christopher R. Clarkson; Morteza Nobakht; Danial Kaviani; Turgay Ertekin


Journal of Petroleum Science and Engineering | 2012

Estimation of interwell connectivity in the case of unmeasured fluctuating bottomhole pressures

Danial Kaviani; Jerry L. Jensen; Larry W. Lake


Journal of Petroleum Science and Engineering | 2014

Interwell connectivity evaluation in cases of changing skin and frequent production interruptions

Mohammad Soroush; Danial Kaviani; Jerry L. Jensen


Spe Reservoir Evaluation & Engineering | 2008

The Application of Artificial Neural Networks With Small Data Sets: An Example for Analysis of Fracture Spacing in the Lisburne Formation, Northeastern Alaska

Danial Kaviani; Thang Bui; Jerry L. Jensen; Catherine Hanks


Abu Dhabi International Petroleum Exhibition and Conference | 2008

Estimation of Interwell Connectivity in the Case of Fluctuating Bottomhole Pressures

Danial Kaviani; Jerry L. Jensen; Larry W. Lake; Mashhad Fahes


Journal of Petroleum Science and Engineering | 2014

How accurate are Capacitance Model connectivity estimates

Danial Kaviani; Mohammad Soroush; Jerry L. Jensen


Journal of Petroleum Science and Engineering | 2010

Inferring interwell connectivity using multiwell productivity index (MPI)

Danial Kaviani; Peter P. Valko


Canadian Unconventional Resources and International Petroleum Conference | 2010

Reliable Connectivity Evaluation in Conventional and Heavy Oil Reservoirs: A Case Study From Senlac Heavy Oil Pool, Western Saskatchewan

Danial Kaviani; Jerry L. Jensen

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Larry W. Lake

University of Texas at Austin

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Turgay Ertekin

Pennsylvania State University

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Ali Al-Yousef

University of Texas at Austin

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