Optimization of Steam-Additive Processes With DTS/DAS Applications in Heavy Oil Reservoirs
Оптимизация процессов паропроводных добавок с применением DTS/DAS в залежах тяжелой нефти
2019-09-18
SCID: 54.1/kgz97pen
Discuss with AI
CO2-enhanced steamfloodDTS/DAS monitoringfull-physics reservoir simulationnaphtha additive viscosity reductionsteam-additive processes
Figures from the paper
Abstract (AI)
Abstract DTS/DAS applications provide key advantages in surveillance and better understanding of both unconventional and thermal operations in terms of key attributes including but not limited to conformance, wellbore integrity in better spatial and temporal terms. This study investigates the effects of CO2 in enhancing the steamflood process while incremental benefits are achieved through improved monitoring of the steamflood injection process using DTS/DAS applications using a completely synthetic but realistic reservoir model. A full-physics reservoir simulator is used to model the process. The technical and economic details of deployment of DTS/DAS as well as the steam-additive process are outlined in detail. Sensitivity study carried out on the model indicates the key attributes along with their significance. Athabasca bitumen properties are used. CO2 additive increases the steam chamber size but lowers the steam temperature while naptha/CO2 additives lower the viscosity, thus optimization study carried out the optimum operating levels of the additives not only in physical production/injection terms but also in terms of economics. The results indicate better reservoir management with DTS/DAS applications compared to the base case and injection can be monitored and adjusted better with such tools. DTS/DAS applications prove useful not only in terms of production performance but also in terms of economics. Physical properties of CO2 and naptha outline that the two have different dominant modes of improving recovery with steam-only injection. CO2 increases the extent of the steam chamber while lowering the steam temperature significantly. This study approaches the delicate process of additive use in steam processes while coupling the additional benefits of use of DTS/DAS applications in optimizing the recovery and the economics outlining the key attributes and the challenges and best practices in operations serving as a thorough reference for future applications.
Key Findings
1
CO2 as an additive increases steam chamber size but significantly lowers steam temperature in steamflood operations.
2
Combining DTS/DAS monitoring with steam-additive processes improves reservoir management and allows better monitoring and adjustment of steam injection versus the base case.
3
DTS/DAS deployment provides economic as well as production performance benefits, and the paper outlines technical, economic, and operational best practices and challenges.
4
Naptha/CO2 additives reduce oil viscosity, with naptha and CO2 exhibiting different dominant recovery mechanisms when combined with steam.
5
Sensitivity and optimization studies identified optimal additive operating levels based on both physical production/injection metrics and economic performance.
Research Object
Steam-additive (steamflood with CO2 and naphtha additives) processes in heavy oil reservoirs monitored with DTS/DAS in a synthetic Athabasca bitumen reservoir model
Research Subject
Optimization of additive types and operating levels (CO2, naphtha) and their effects on steam chamber extent, steam temperature, viscosity reduction, production/injection performance and economics, enabled and evaluated through DTS/DAS monitoring and full-physics reservoir simulation
Publication Details
Publication Date
2019-09-18
Journal
Publisher
ISSN
Access Type
Author Information
Download PDF
Subscribe to digest
References available in scid.ai3
Semianalytical Modeling of Steam/Solvent Gravity Drainage of Heavy Oil and Bitumen: Unsteady-State Model With Curved Interface2016
An Investigation Into Optimal Solvent Use and the Nature of Vapor/Liquid Interface in Solvent-Aided SAGD Process With a Semianalytical Approach2012
A New Approach To The Modelling Of Steam-Assisted Gravity Drainage1985