Integrated field operation and optimization

Rahmawati, Silvya Dewi; Whitson, Curtis Hays; Foss, Bjarne A.; Kuntadi, Arif

doi:10.1016/j.petrol.2011.12.027

Cited by 43 publications

(23 citation statements)

References 7 publications

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“…The authors [6,7,8,9,10] highlight the possibilities of gaining advantage with integrated asset management in the oil and gas industry, and [11] and [12] suggest some solutions in this direction. However, in spite of the technological development, there is much work still to be done in old assets, to solve the lack of communication between different areas, integration between systems, standardized methods and procedures, or even trained professionals [13].…”

Section: Challenges In Oil Field Managementmentioning

confidence: 99%

A Multi-agent Approach for Production Management

Tanajura

Oliveira

Lepikson

2015

Lecture Notes in Electrical Engineering

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Abstract. Multi-agent systems have been successfully used to represent distributed manufacturing systems. Each part or characteristic of the system can be represented by an agent which acts independently and in a cooperative way. A better integrated operation can emerge as the result of each agent following its own rules and communicating with the others. Better decisions from a holistic viewpoint can be achieved when manufacturing asset management is supported by a multi-agent approach. A model to manage distributed manufacturing is proposed and applied to on-shore oil fields. The distributed characteristics of oil field units, such as wells, collecting stations, compressing stations and supplies mean that they have to cooperate to reach production targets. The integrated management model carries out a cost analysis and helps to identify unprofitable assets and to support decision making processes. Agents help to reduce the load of information for the operator, giving more time to focus on situations that require greater attention. Example applications are presented in which the proposed multi-agent model, its ontology and rules, could help oil field surveillance and support decision-making process.

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Section: Challenges In Oil Field Managementmentioning

confidence: 99%

A Multi-agent Approach for Production Management

Tanajura

Oliveira

Lepikson

2015

Lecture Notes in Electrical Engineering

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“…Studies by Tavallali [46], Tavallali et al [39] and Rahmawati et al [47], and industrial packages such as AVOCET by Schlumberger [1], are examples of current attempts to holistically join the planning and scheduling studies and open new horizons for integrated field management. For that, subsurface reservoir, wells, surface infrastructure, market and economic aspects are examined holistically.…”

Section: Integrated Field Design and Planningmentioning

confidence: 99%

Perspectives on the Design and Planning of Oil Field Infrastructure

Tavallali

Karimi

2014

Computer Aided Chemical Engineering

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“…Although there has been progress in operation integration, there has been less progress in the integration of field individual models and the common approach is still to utilize the models of different parts separately and individually. [1,2] The proposed solution for this problem is Integrated Asset Modelling. Integrated asset modelling uses an integrated model that includes all the individual models of a field; from geological to economic models.…”

Section: Introductionmentioning

confidence: 99%

“…[1,2] The proposed solution for this problem is Integrated Asset Modelling. Today's industrial processes are managed in a manner that all parts of the production chain are working individually and separately.…”

mentioning

confidence: 99%

“…This makes the integration of asset management hard, even in cases in which there is a high potential of integration. [1,2,[5][6][7][8] All the mentioned studies have focused on how the gas is distributed among fields and not on how the gas distribution among injection wells may affect the Net Profit Value (NPV). Therefore, comprehensive management of the field is a very difficult task due to lack of integration.…”

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confidence: 99%

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Investigating the efficiency of gas re‐injection process of an oil field using combined integrated field simulation and intelligent proxy model application

Dehaghani

Rahimi

2018

Can J Chem Eng

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Integrated asset modelling is a novel method to overcome the limitations associated with using individual models. This method integrates all the individual models of a field into a single model that relates all the sub-models using proper boundary conditions. Reservoir, wells, surface, and economic models of an oil reservoir, under gas re-injection, are integrated. The main goal of this study is to propose a novel approach in integrated asset modelling. An integrated model of a field is used to study how gas must be distributed among injection wells. Another aim of this study is to understand the effects of 4 input parameters on the Net Present Value (NPV) of the field. The input variables are: oil production rate, gas injection rate, and the distribution of gas between injection wells. A comprehensive model of a field was built. Using the experimental design results, a neuro-fuzzy logic network was developed. The proxy model predicted the simulation outputs with a reasonable accuracy. The effects of input variables were studied. Oil production has an optimum value of 6050 STBD per well. The optimum fractions of injected gas for injection wells 1 and 2 are 0.4 and 0.6 of total injected gas, respectively. This means that 40 % of the total injection gas must be injected to well 1 to have the maximum NPV. The greater the gas injection rate, the higher NPV is.

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Integrated field operation and optimization

Cited by 43 publications

References 7 publications

A Multi-agent Approach for Production Management

A Multi-agent Approach for Production Management

Perspectives on the Design and Planning of Oil Field Infrastructure

Investigating the efficiency of gas re‐injection process of an oil field using combined integrated field simulation and intelligent proxy model application

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