Study of oil filtration in porous media under the steam-assisted gravity drainage process
نویسندگان
چکیده
منابع مشابه
Neural Network Meta-Modeling of Steam Assisted Gravity Drainage Oil Recovery Processes
Production of highly viscous tar sand bitumen using Steam Assisted Gravity Drainage (SAGD) with a pair of horizontal wells has advantages over conventional steam flooding. This paper explores the use of Artificial Neural Networks (ANNs) as an alternative to the traditional SAGD simulation approach. Feed forward, multi-layered neural network meta-models are trained through the Back-...
متن کاملSteam-on-a-chip for oil recovery: the role of alkaline additives in steam assisted gravity drainage.
We present a lab-on-a-chip approach to informing thermal oil recovery processes. Bitumen - a major global resource - is an extremely viscous oil which is extracted by injecting steam underground in a process known as Steam Assisted Gravity Drainage (SAGD). Here, a microfluidic network saturated with bitumen provides a physical model of the SAGD reservoir; steam is injected into the chip, and th...
متن کاملNeural Network Meta-Modeling of Steam Assisted Gravity Drainage Oil Recovery Processes
Production of highly viscous tar sand bitumen using Steam Assisted Gravity Drainage (SAGD) with a pair of horizontal wells has advantages over conventional steam flooding. This paper explores the use of Artificial Neural Networks (ANNs) as an alternative to the traditional SAGD simulation approach. Feed forward, multi-layered neural network meta-models are trained through the Back-Error-Propaga...
متن کاملEffects of Lean Zones on Steam-Assisted Gravity Drainage Performance
A thorough understanding of the effects of lean zones and the improvement of steam-assisted gravity drainage (SAGD) operations with such heterogeneities is critically important for reducing the disadvantages of lean zones. The numerical model shows: (1) SAGD is most influenced by the single-layer lean zone with the above-injector (AI) location; with the decrease of interval distance and increas...
متن کاملneural network meta-modeling of steam assisted gravity drainage oil recovery processes
production of highly viscous tar sand bitumen using steam assisted gravity drainage (sagd) with a pair of horizontal wells has advantages over conventional steam flooding. this paper explores the use of artificial neural networks (anns) as an alternative to the traditional sagd simulation approach. feed forward, multi-layered neural network meta-models are trained through the back-error-propaga...
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ژورنال
عنوان ژورنال: Perm Scientific Center Journal
سال: 2018
ISSN: 1998-2097
DOI: 10.7242/1998-2097/2018.3.1