Production Optimization in Heavy Oil Recovery Processes
- Cenk Temizel (Aera Energy LLC) | Harun Kirmaci (Turkish Petroleum Corporation) | Turgay Inceisci (Turkish Petroleum Corporation) | Zein Wijaya (HESS) | Ming Zhang (University of Akron) | Karthik Balaji (University of Southern California) | Anuj Suhag (University of Southern California) | Rahul Ranjith (University of Southern California) | Basel Al-Otaibi (Kuwait Oil Company) | Ahmad Al-Kouh (Middle East Oilfield Services) | Ying Zhu (University of Southern California) | Cengiz Yegin (Texas A&M University)
- Document ID
- Society of Petroleum Engineers
- SPE Heavy Oil Conference and Exhibition, 6-8 December, Kuwait City, Kuwait
- Publication Date
- Document Type
- Conference Paper
- 2016. Society of Petroleum Engineers
- 2 Well completion, 2.4 Hydraulic Fracturing, 3.2 Well Operations and Optimization, 5.5 Reservoir Simulation, 4.3.4 Scale, 5.7 Reserves Evaluation, 1.6 Drilling Operations, 0.2 Wellbore Design, 5.7.2 Recovery Factors, 2.6 Acidizing, 1.8 Formation Damage, 5 Reservoir Desciption & Dynamics, 4.3.3 Aspaltenes, 1.2.3 Rock properties, 3 Production and Well Operations, 1.8 Formation Damage, 3 Production and Well Operations, 5.5.5 Evaluation of uncertainties, 3.2.7 Lifecycle Management and Planning
- optimization, asphaltene precipitation, flocculation, heavy oil
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- 510 since 2007
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Asphaltene precipitation is caused by numerous factors such as temperature, pressure and compositional vartiations. Drilling, completion, acid stimulation, and hydraulic fracturing activities can also result in settling in the near-wellbore region. Heavier crudes have a fewer precipitation issue becasue of dissolving more asphaltene. Thus, it is crucial to understand the significance of each uncertainty and control variables not only theoretically, but also with application to real-life examples, such as with this model that uses a 32-degree API South American oil to demonstrate the importance of each variable to shed light in order to efficiently manage such reservoirs.
A commercial optimization and uncertainty tool is combined with a full-physics commercial simulator, which can create a model to investigate the significance of major factors influencing the performance of wells in temperature-dependent asphaltene precipitation and irreversible flocculation. Temperature-dependent asphaltene precipitation and irreversible flocculation are modelled where no precipitation occurs at the original reservoir temperature, and flocculated asphaltene is allowed to deposit through surface adsorption and pore throat plugging. The exponent in the power law relating porosity reduction to the permeability resistance factor, is modified to change the effect of asphaltene deposition on permeability reduction.
Lower temperatures are specified around the wellbore causing asphaltene precipitation. And then, optimization and sensitivity have been performed on major reservoir parameters including well operational parameters, and fluid and rock properties. Moreover, each parameter has been demonstrated in tornado diagrams. It was concluded that employing feasible methods on handling of reservoir uncertainties are as important as management of well operational parameters for effective reservoir management.
This study provides an in-depth optimization and uncertainty analysis to outline the significance of each major parameter involved in production performance, and ultimately the recovery efficiency in reservoirs with temperature-dependent asphaltene precipitation and irreversible flocculation.
|File Size||5 MB||Number of Pages||41|
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