Optimal Well-Testing Strategy for Production Optimization: A Monte Carlo Simulation Approach

Bieker, Hans Petter; Slupphaug, Olav; Johansen, Tor Arne

doi:10.2118/104535-ms

Cited by 9 publications

(1 citation statement)

References 15 publications

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“…Handling uncertainty has been identified as a key challenge in real‐time optimization of oil and gas production . Monte Carlo simulations have been previously used by Bieker et al, to analyze the uncertainty in production optimization. Bieker et al also mention that the uncertainty in production optimization should be related to the production profit.…”

Section: Optimization For Oil and Gas Production Process Considering mentioning

confidence: 99%

A novel optimization approach for oil and gas production process considering model parameters uncertainties

et al. 2016

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Through analyzing the integrated oil and gas production process, a multi-objective optimization model for the integrated oil and gas production process is established with considering nonlinear reservoir behaviour, multiphase flow in wells and constraints from the surface facilities. In order to reduce the influence of model parameter uncertainty in oil and gas production process, an error compensation method based on Gaussian mixture model (GMM) is proposed to compensate the model. Non-dominated sorting genetic algorithm-II (NSGA-II) is used as the optimization algorithm. Moreover, an operational strategy by using post-optimization is applied to solve the optimization model, so as to ensure the feasibility of obtained optimal set-point. Finally, a novel optimization approach for oil and gas production process considering model parameter uncertainty is proposed. Simulation results indicate that the proposed optimization method is feasible and effective. This article is protected by copyright.All rights reserved

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Section: Optimization For Oil and Gas Production Process Considering mentioning

confidence: 99%

A novel optimization approach for oil and gas production process considering model parameters uncertainties

et al. 2016

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Production Optimization under Uncertainty with Constraint Handling Kristian

2015

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Well Management Under Uncertain Gas/ or Water/Oil Ratios

2007

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In the daily operation of an oil production system, it is often required to choke back some of the oil production wells to ensure that the processing capacity is not over-utilized. When the capacity of some processing resource is over-utilized, wells having large ratios between the consumption of the resource and the oil production rate are choked back. When there is free processing capacity, the chokes of the wells having small ratios are opened. Often, the gas or water oil ratios (derived from the water cuts) are used as such ratios. These ratios are uncertain. This paper proposes to use information about the uncertainties of the gas or water oil ratios to find the order of opening and closing the wells to maximize the expected total oil production rate from the wells. In a computational study based on field data, it is found that the order may be different from the one found using the expected value of the gas or water oil ratios and that the expected total oil production rate was increased by 10.1 % for this particular case. Introduction In the daily operation of an oil production system, operators may use various means of optimization to maximize the total oil production rate. For example, Lo and Holden [1] proposed a linear program to maximize the total oil production rate of an oil production system having a processing facility constrained by maximum total gas, water, and liquid production rates. The method assumed that the oil potential for each well was independent of the oil potentials of the other wells (independent wells). This is typically true if the wells do not share long flow lines. For offshore oil production systems, so-called platform wells often satisfies this assumption because the production manifold (a blending point) is placed on the processing platform itself close to the wellheads, and not on the seabed. For such platform wells, the pressure drop in the shared piping between the production manifold and the production separator may be regarded as constant because of the short distance and typically large diameters of the piping used. Furthermore, the method assumed that the wells do not experience gas or water coning. Gas lifted wells are in general not handled by the method. The proposed linear program [1] is shown next using a modified notation. The goal is to maximize the total oil production rate Furthermore, the oil production rate from each well must be nonnegative, where is the gas oil ratio and is the water oil ratio. For simplicity, will be used to denote the liquid oil ratio. Liquid is defined as oil and water.

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Optimal Well-Testing Strategy for Production Optimization: A Monte Carlo Simulation Approach

Cited by 9 publications

References 15 publications

A novel optimization approach for oil and gas production process considering model parameters uncertainties

A novel optimization approach for oil and gas production process considering model parameters uncertainties

Production Optimization under Uncertainty with Constraint Handling Kristian

Well Management Under Uncertain Gas/ or Water/Oil Ratios

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