Fire Front Prediction and Injection-Production Parameter Optimization for Block Gao 3618, Liaohe Oilfield

doi:10.7657/XJPG20210410

Abstract

Abstract:

Affected by factors such as reservoir heterogeneity, well interference and pore blockage, the fire front advances unevenly, and results in unsatisfactory fire flooding development of the Block Gao 3618 in Gaosheng heavy oil reservoir of Liaohe oilfield. Therefore, physical experiments on simulating fire flooding process were carried out to understand the temperature limit of crude oil in different oxidation stages, kinetic parameters were revised using the Arrhenius equation, and a well connectivity model was established on the basic well pattern to quantitatively characterize the connectivity between injection and production wells. The rationality of the connectivity model was verified through high-temperature gas tracer simulation. The physical experiments and the model were joined together to characterize the moving trajectory of the fire front, making the fitting accuracy increase to 85%. After optimizing the injection-production parameters based on numerical simulation, the fire front was controlled, gas channeling was slowed down, the fire flooding sweep coefficient was increased and the oil recovery was enhanced. For example, the initial gas injection rate is 10,000 m³/d for Well I5-0151C2 and Well I51-156, and 10,500 m³/d for Well I5-0158C. Supposing that the monthly increase of gas injection is 3,000 m³/d, and horizontal wells produces at a fixed rate of 100 m³/d, the fire front can advance evenly after parameter optimization, the sweep coefficient can increase by 8.74%, and the recovery can increase by 6.37%.

Key words: Liaohe oilfield, Block Gao 3618, heavy oil reservoir, well connectivity, tracer, fire front prediction, injection-production parameter, gas channeling, sweep coefficient

CLC Number:

TE357.44

JIANG Yi, YU Gaoming, XIN Xiankang, WANG Lixuan, ZHANG Fengfeng, CHEN Minggui. Fire Front Prediction and Injection-Production Parameter Optimization for Block Gao 3618, Liaohe Oilfield[J]. Xinjiang Petroleum Geology, 2021, 42(4): 462-468.

Figures/Tables 7

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