基于 SAGD 全生命周期地质力学分析的重油产量预测

IF 3.5 3区 工程技术 Q3 ENERGY & FUELS
Dengke Li, Shaowen Zhu, Yanchao Li, Shijie Shen, Zupeng Chen, Zhanli Ren, Yuxuan Zhou, Yanfang Gao
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引用次数: 0

摘要

蒸汽辅助重力泄油(SAGD)技术是世界上稠油、超稠油、油砂等非常规资源高效开发的重要手段。稠油开采过程中稠油产量的准确预测与评价是施工优化设计和经济评价的关键环节。传统的稠油产量预测模型没有充分考虑岩石变形、渗透率动态演化等诸多地质力学因素。针对SAGD生命周期的三个阶段(蒸汽室突破阶段、上升阶段和侧向膨胀阶段),建立了新的原油生产-地质力学耦合数学模型。通过岩石应变和渗透应力的敏感系数,充分考虑了岩石孔隙度和渗透率的动态演化对产量的影响。研究发现,当储层应变敏感性和应力敏感性越大时,新模型与传统模型之间的差距越大。常规模型计算的数值在储层膨胀时较小,在储层压缩时较大。对于新疆克拉玛依稠油,当体积应变为6%时,新模型预测的蒸汽突破时间分别是常规模型的0.72倍、1.50倍、1.37倍和1.44倍。预测了中国新疆克拉玛依、加拿大阿萨巴斯卡和冷湖SAGD产区的稠油产量。在蒸汽室侧向膨胀阶段,考虑地质力学因素的模型预测值分别是传统模型的1.44倍、1.28倍和1.15倍。该模型可以帮助现场工程师获得更准确的稠油产量,并评估储层地质力学在SAGD生产中的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Prediction of Heavy Oil Production Based on Geomechanical Analysis in Entire Lifecycle of SAGD

Prediction of Heavy Oil Production Based on Geomechanical Analysis in Entire Lifecycle of SAGD

Steam-assisted gravity drainage (SAGD) technology is an essential means of efficient development of heavy oil, super heavy oil, oil sands, and other unconventional resources in the world. Accurate prediction and evaluation of heavy oil output during SAGD production is a key step of construction optimization design and economic evaluation. The traditional prediction model of heavy oil production does not fully consider many geomechanical factors, such as rock deformation and permeability dynamic evolution. In this paper, a new mathematical model of crude oil production-geomechanical coupling was established for three stages of the SAGD life cycle (steam chamber breakthrough stage, rising stage, and lateral dilation stage). The influence of the dynamic evolution of rock porosity and permeability on production was fully considered through the sensitivity coefficient of rock strain and permeability stress. It is found that the gap between the new model and the traditional model is larger when the strain and stress sensitivity of the reservoir body is larger. The value calculated by the conventional model is small when the reservoir dilates and large when the reservoir compresses. For Karamay heavy oil in Xinjiang, China, the steam breakout time predicted by the new model is 0.72, 1.50, 1.37, and 1.44 times the conventional model when the volumetric strain is 6%. The heavy oil production of Karamay, Xinjiang, China, Athabasca, and Cold Lake SAGD production areas in Canada was predicted. In the lateral dilation stage of the steam chamber, the predicted values of the model considering geomechanical factors were 1.44, 1.28, and 1.15 times the traditional model, respectively. This model can help field engineers obtain more accurate production of heavy oil and evaluate the significance of reservoir geomechanics in SAGD production.

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来源期刊
Energy Science & Engineering
Energy Science & Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
6.80
自引率
7.90%
发文量
298
审稿时长
11 weeks
期刊介绍: Energy Science & Engineering is a peer reviewed, open access journal dedicated to fundamental and applied research on energy and supply and use. Published as a co-operative venture of Wiley and SCI (Society of Chemical Industry), the journal offers authors a fast route to publication and the ability to share their research with the widest possible audience of scientists, professionals and other interested people across the globe. Securing an affordable and low carbon energy supply is a critical challenge of the 21st century and the solutions will require collaboration between scientists and engineers worldwide. This new journal aims to facilitate collaboration and spark innovation in energy research and development. Due to the importance of this topic to society and economic development the journal will give priority to quality research papers that are accessible to a broad readership and discuss sustainable, state-of-the art approaches to shaping the future of energy. This multidisciplinary journal will appeal to all researchers and professionals working in any area of energy in academia, industry or government, including scientists, engineers, consultants, policy-makers, government officials, economists and corporate organisations.
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