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Deep geologic injection of supercritical carbon dioxide (CO 2 ) for enhanced oil recovery (EOR) has been widely used for improved oil recovery from depleted oilfields since early 1970s. The CO 2 injection maintains the pressure, mobilize the oil and release the petroleum resources that would otherwise be inaccessible. In addition to improving the oil recovery, the CO 2 -EOR contributes to minimize the impact of CO 2 -emissions to the atmosphere. The injected CO 2 will be remained trapped in the underground geological formations, as the CO 2 replace the oil and water in the pores. Carbonate reservoirs are characterized by low permeability and high heterogeneity, resulting in early breakthrough of gas and water and hence low oil recovery. The presence of naturally fractures in carbonate reservoirs is a major problem for the oil industry using CO 2 -EOR, because significant amount of CO 2 are recycled to the well, and thereby not distributes in the reservoir. This study focuses on CO 2 injection into a naturally fractured carbonate reservoir, including near-well simulations of CO 2 -distribution in the rock matrix. The simulations are carried out using the reservoir simulation software Rocx in combination with OLGA. The simulations show that CO 2 -injection into a naturally fractured carbonate reservoir in combination with closing of the fractured zones result in good distribution of CO 2 in the reservoir.
Deep geologic injection of supercritical carbon dioxide (CO 2 ) for enhanced oil recovery (EOR) has been widely used for improved oil recovery from depleted oilfields since early 1970s. The CO 2 injection maintains the pressure, mobilize the oil and release the petroleum resources that would otherwise be inaccessible. In addition to improving the oil recovery, the CO 2 -EOR contributes to minimize the impact of CO 2 -emissions to the atmosphere. The injected CO 2 will be remained trapped in the underground geological formations, as the CO 2 replace the oil and water in the pores. Carbonate reservoirs are characterized by low permeability and high heterogeneity, resulting in early breakthrough of gas and water and hence low oil recovery. The presence of naturally fractures in carbonate reservoirs is a major problem for the oil industry using CO 2 -EOR, because significant amount of CO 2 are recycled to the well, and thereby not distributes in the reservoir. This study focuses on CO 2 injection into a naturally fractured carbonate reservoir, including near-well simulations of CO 2 -distribution in the rock matrix. The simulations are carried out using the reservoir simulation software Rocx in combination with OLGA. The simulations show that CO 2 -injection into a naturally fractured carbonate reservoir in combination with closing of the fractured zones result in good distribution of CO 2 in the reservoir.
CO 2 storage compliance refers to the safe and consistent storage of a captured anthropogenic CO 2 slug in an underground geological structure. This paper investigates the storage compliance in coupled CO 2 enhanced oil recovery (EOR) and storage projects. Storage compliance requires an oilfi eld operator to maintain suffi cient CO 2 injection and storage capacities throughout an industrialscale CO 2 capture and EOR-storage operation. We investigate the uncertainty in two operational parameters that may raise a compliance consideration: annual captured CO 2 from the power plant and CO 2 injection loss in the oilfi eld. The objective is to maintain suffi cient CO 2 injection and storage capacities and maximize the economic benefi ts from the EOR-storage operation. We formulate and optimize the storage compliance problem using the method of optimization with Monte Carlo simulation. The results show that appropriate adjustment of the water-alternating-gas (WAG) ratio increases both the compliance and the economic benefi ts. Also, a CO 2 storage back-up in a saline aquifer allows the oilfi eld operator to implement more profi table EOR-storage designs. A risk-seeking operator may practice the saline aquifer back-up option to simultaneously maximize the benefi ts and mitigate the risk of storage capacity shortage. Finally, EOR-storage operation is less effi cient than aquifer storage in terms of storage effi ciency, and considerably more profi table in terms of tangible economic benefi ts.
This paper presents an optimization methodology for CO2 enhanced oil recovery in partially depleted reservoirs. A field‐scale compositional reservoir flow model was developed for assessing the performance history of an active CO2 flood and for optimizing both oil production and CO2 storage in the Farnsworth Unit (FWU), Ochiltree County, Texas. A geological framework model constructed from geophysical, geological, and engineering data acquired from the FWU was the basis for all reservoir simulations and the optimization method. An equation of state was calibrated with laboratory fluid analyses and subsequently used to predict the thermodynamic minimum miscible pressure (MMP). Initial history calibrations of primary, secondary and tertiary recovery were conducted as the basis for the study. After a good match was achieved, an optimization approach consisting of a proxy or surrogate model was constructed with a polynomial response surface method (PRSM). The PRSM utilized an objective function that maximized both oil recovery and CO2 storage. Experimental design was used to link uncertain parameters to the objective function. Control variables considered in this study included: water alternating gas cycle and ratio, production rates and bottom‐hole pressure of injectors and producers. Other key parameters considered in the modeling process were CO2 purchase, gas recycle and addition of infill wells and/or patterns. The PRSM proxy model was ‘trained’ or calibrated with a series of training simulations. This involved an iterative process until the surrogate model reached a specific validation criterion. A sensitivity analysis was first conducted to ascertain which of these control variables to retain in the surrogate model. A genetic algorithm with a mixed‐integer capability optimization approach was employed to determine the optimum developmental strategy to maximize both oil recovery and CO2 storage. The proxy model reduced the computational cost significantly. The validation criteria of the reduced order model ensured accuracy in the dynamic modeling results. The prediction outcome suggested robustness and reliability of the genetic algorithm for optimizing both oil recovery and CO2 storage. The reservoir modeling approach used in this study illustrates an improved approach to optimizing oil production and CO2 storage within partially depleted oil reservoirs such as FWU. This study may serve as a benchmark for potential CO2–EOR projects in the Anadarko basin and/or geologically similar basins throughout the world. © 2016 Society of Chemical Industry and John Wiley & Sons, Ltd.
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