Streamline-based Inversion Model Using Simulated Annealing Coupled with Geostatistical Perturbation Methods

Jang, Min-Kyung; Choe, Jonggeun; Kim, S.-J.

doi:10.1080/15567030600820435

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…Reservoir characterization is the most important process for better understanding and estimation of remaining reserves. Lots of research for conventional sandstone reservoirs have been presented efficient ways to characterize reservoir properties through history matching using static and dynamic data (Jang and Choe, 2002;Jang et al, 2007;Arroyo-Negrete et al, 2008;Ki and Choe, 2009;Jung and Choe, 2012).…”

Section: Introductionmentioning

confidence: 99%

Feasibility Study and Economic Analyses for the Marginal Field Development Using Proxy Models under Uncertainty of Reservoir Characterization

Jeong

Baik

et al. 2013

Energy Exploration & Exploitation

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Economical development of marginal fields is one of the key issues for the oil & gas industry. Risk analysis and optimization technique can be applied to ensure the economics of E&P projects in terms of the development scenarios, cost optimization, and production schemes. Depending on the reliability of reservoir data and the easiness of development, a field operator can exploit the whole field at the same time or choose a phased development strategy. Especially for a basement fracture reservoir, which has high uncertainty in connectivity among fractures, it is better to develop and produce oil from more reliable part of reservoir and then extend to the remaining parts. Even through this strategy, it is often necessary to face the difficulty in the determination of the proper development concepts such as a separate wellhead platform or sub-sea completion. The number and locations of wells also should be optimized to increase the net present value of the project. This paper presents a workflow to determine the development feasibility of oil and gas fields under the uncertainty of reservoir characterization using the neural network and Monte-Carlo simulation. In this paper, we focus on the evaluation of risk and uncertainty of a project's economics under the uncertainty with the connectivity of main producing area and the remaining area. Through the application of the proposed method to a real field in Vietnam, we show that the connectivity between adjacent areas in the basement reservoir is critical to estimate ultimate recovery and to evaluate the project economics. The production incremental through the development of the remaining area will be mainly affected by the production of the existing wells depending on the connectivity. From the evaluation of net present values according to the development concept and the schedule, this paper shows that the project's economics can be improved and better bases for decision making can be provided.

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Section: Introductionmentioning

confidence: 99%

Feasibility Study and Economic Analyses for the Marginal Field Development Using Proxy Models under Uncertainty of Reservoir Characterization

Jeong

Baik

et al. 2013

Energy Exploration & Exploitation

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show abstract

“…In typical sandstone and carbonate reservoirs, numerous researches have been done for history matching and uncertainty analyses (Jang and Choe, 2002;Jang et al, 2007;Ki and Choe, 2009;Jung and Choe, 2012). However, basement fracture reservoir has a difficulty in matching production data due to extreme heterogeneity of permeability and porosity and unpredictable water behaviors after water-breakthrough.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Analyses of Basement Fracture Reservoir Performances Using Proxy Models with High-Quality History Matching

Jeong

Baik

2013

Energy Exploration & Exploitation

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This paper presents a methodology to evaluate the degree of uncertainty of basement fracture reservoir performances when a reservoir has special events like water-breakthrough. Basement fracture reservoir is a particular feature with water-cut performances compared to other common reservoirs due to extremely high fracture permeability and heterogeneity of reservoir properties.Proxy models are used in this paper to estimate production history and uncertainty. They are useful to reduce the uncertainty contained in a simulation model due to unknown parameters such as reservoir permeability, aquifer size and influx rate, and so on. From a real field application of the proposed methodology, we conclude that the uncertainty of estimated ultimate recovery (EUR) can be significantly reduced when we have water-breakthrough data and proxy models can be utilized to extract probabilistic ranges of EUR with high confidence. This paper proposes to use only high quality history matching (HQHM) models to configure neural network for a proxy modeling to estimate the uncertainty of EUR. The proxy model to be extracted from HQHM model will reduce the error of estimation and reveal real uncertainty due to uncertain parameters not from the proxy model itself.

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Streamline Simulation Technology: Evolution and Recent Trends

Al-Najem¹,

Siddiqui²,

Soliman³

et al. 2012

All Days

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Streamline and streamtube methods have been used in fluid flow computations for many years. Early applications for hydrocarbon reservoir simulation were first reported by Fay and Pratts in the 1950s. Streamline-based flow simulation has made significant advances in the last 15 years. Today's simulators are fully three-dimensional and fully compressible and they account for gravity as well as complex well controls. Most recent advances also allow for compositional and thermal displacements. In this paper, we present a comprehensive review of the evolution and advancement of streamline simulation technology. This paper offers a general overview of most of the material available in the literature on the subject. This work includes the review of more than 200 technical papers and gives a chronological advancement of streamline simulation technology from 1996 to 2011. Firstly, three major areas are identified. These are development of streamline simulators, enhancements to current streamline simulators and applications. In view of the fact that this state of-the-art technology has been employed for a wide range of applications, we defined three major application areas that symbolize the relevance and validity of streamline simulation in addressing reservoir engineering concerns. These are history matching, reservoir management and upscaling, ranking and characterization of fine-grid geological models. Streamline simulation has undergone several phases within its short stretch in the petroleum industry. Initially, the main focus was on the speed advantage and less on fluid flow physics. Next, the focus was shifted to extend its applicability to more complex issues such as compositional and thermal simulations, which require the inclusion of more physics, and potentially reducing the advantage of computational time. Recently, the focus has shifted towards the application of streamline technologies to areas where it can complement finite difference simulation such as revealing important information about drainage areas, flood optimization and improvement of sweep efficiency, quantifying uncertainties, etc.

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Streamline-based Inversion Model Using Simulated Annealing Coupled with Geostatistical Perturbation Methods

Cited by 3 publications

References 16 publications

Feasibility Study and Economic Analyses for the Marginal Field Development Using Proxy Models under Uncertainty of Reservoir Characterization

Feasibility Study and Economic Analyses for the Marginal Field Development Using Proxy Models under Uncertainty of Reservoir Characterization

Uncertainty Analyses of Basement Fracture Reservoir Performances Using Proxy Models with High-Quality History Matching

Streamline Simulation Technology: Evolution and Recent Trends

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