Reservoir characterization
This work investigates the root cause of strong oil/water emulsion and if sludge formation is occurring within the reservoir using a robust integrated approach.
In this work, a perturbed-chain statistical associating fluid theory equation of state has been developed to characterize heavy-oil-associated systems containing polar components and nonpolar components with respect to phase behavior and physical properties.
The paper describes a parameter inversion of reservoirs based on featured points, using a semi-iterative well-test-curve-matching approach that addresses problems of imbalanced inversion accuracy and efficiency.
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Through examples of subsalt fields of the Kaombo project, we show how new techniques have had a positive effect. -
In this paper, the authors propose a new method for time-lapse-seismic surveys focused on water-injector wells.
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The Risha concession, in the desert of eastern Jordan (bordering Iraq, Syria, and Saudi Arabia) contains the partially developed Risha gas field.
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An integrated-asset-model (IAM) approach has been implemented for the Alpine field and eight associated satellite fields on the western Alaskan North Slope (WNS) to maximize asset value and recovery.
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Successful development of flank areas depends on accurate reservoir characterization—in particular, water-saturation distribution—in addition to the optimal areal and vertical placement of wells.
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Accurate determination of relative permeability hysteresis is needed to predict water-alternating-gas (WAG) injection reliably. Two series of gas/water relative permeability hysteresis curves were obtained from corefloods under mixed-wet conditions. The results revealed that none of the widely used hysteresis models (e.g., Carlson and Killough models) is able to predi…
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A test-case study (Norne E-segment), based on field data of an offshore Norway brownfield, was organized to evaluate and compare mathematical methods for history matching and strategies for optimal production or enhanced oil recovery (EOR).
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A nonlinear orthogonal-matching pursuit (NOMP) for sparse calibration of reservoir models has been proposed. Sparse calibration is a challenging problem because the unknowns are the nonzero components of the solution and their associated weights.
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Reservoir simulation is essential in the decision-making process for the development and management of petroleum reservoirs. A simulation model can predict the reservoir behavior under various operating conditions.
