首页| Incorporating adaptive well conditions into numerical reservoir simulators constrained by well and reservoir performance data
Incorporating adaptive well conditions into numerical reservoir simulators constrained by well and reservoir performance data
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Using fixed boundary conditions has always been the way wells are modelled in reservoir simulators for prediction runs. This commonly results in oil wells being shut-in due to increasing production of water or gas or triggering a workover option shutting-in a section of the wells perforated interval. These actions are late reactive actions instead of being proactive actions that can help prolong a wells life. In actual field operations, well flow rates and bottomhole pressures are often adjusted to better suit reservoir management strategies and control water and gas production. This paper introduces a novel yet simple implementation of adaptive well conditions that updates well boundary conditions based on wellbore or near-wellbore performance. This methodology can be executed using a commercial simulator alongside a small instructing application, or internally integrated as done here with an inhouse reservoir simulator built to present this work as proof of concept. Three case studies are presented in this paper with increasing complexity. We show that an improvement in the amount of recovered oil, an increase in the lifetime of assets, and a reduction of produced water and gas are all possible with adaptive well controls. In one of the three cases, adaptive well controls resulted in an oil recovery increase as high as 20%. We also discuss the differences between well-data and reservoir-data dependencies of the adaptive well-condition algorithms in terms of dynamic response and physical application. Implementing adaptive well controls can help in reconsidering business plans by reducing water and gas production and avoiding early abandonment of wells. It was also considered that one of the main advantages of adaptive well conditions is the potentially significant reduction in number of variables for future optimization studies due to the elimination of control steps.
Adaptive well controlAdaptive well conditionsWater floodingImproved oil recoveryExtended well lifetime
Suleiman Altaheini、Peyman Mostaghimi、Stuart R. Clark
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University of New South Wales Sydney, Kensington, NSW, 2052, Australia
NSTL
