Advanced Integrated Field Modelling Approach in Development Planning and Management of Giant Gas Condensate Field

Tleukhabyluly, Olzhas; Mutaliyev, Galymzhan; Abdibapov, A.

doi:10.2118/172330-ms

Cited by 5 publications

(1 citation statement)

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“…Several integrated models have been developed in last years. Tleukhabyluly et al (2014) described an integrated system for giant gas condensate field for improving the forecast accuracy and supporting the facilities design. Ursini et al (2010) presented an integration of three oil fields for evaluating the production increment based on a proper asset management.…”

Section: Introductionmentioning

confidence: 99%

Simplified Network Simulation Vs. Integrated Asset Modelling for Management and Development of Offshore Gas Fields

Rossi

Casciano

Elmutardi

et al. 2015

Day 3 Wed, September 16, 2015

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The development of any offshore assets is always a technical and economical challenge, especially for the investment decision-maker. It is well known that stand-alone dynamic reservoir models and surface facilities models are not able to effectively capture the overall complexity of the system if considered independently from each other. The task can be effectively faced only coupling together reservoir models, wells, surface network, facilities and processing plants models in the frame of an integrated asset modelling system. Nowadays, however, several solutions and workflows are available to achieve an effective coupling of the surface and subsurface simulation models, and the choice of the right approach can also depend on the specific targets of the study. In this paper, we compare two available solutions for reservoir-network coupling in the case of a real dry gas asset, consisting in a brown field currently in production and five near-by green fields. These green fields will be developed to meet the contractual gas sales target using the spare capacity of the existing facility. Since the near-by fields are currently in different development stages -and then different state of knowledge in terms of data acquisition or reliability of reservoir model -the simulation of the integrated system will need to take into account specific different priorities to correctly balance production from the different fields.Main aim of the activity is to highlight advantages and criticalities of the two different approaches with respect to the specific study goals to be addressed. Simulating multi-asset development scenarios from reservoir to surface facility till the market delivery point represents one of the most important task in the oil and gas business and it can be achieved under two different modeling concepts. The first concept is a simplified solution represented by the capabilities offered by some commercial simulators, where the network solver (based on pre-computed hydraulic table) is directly included in the reservoir simulator together with some possibilities of reservoir coupling. The second approach consists in combining reservoir models with a dedicated network simulator having optimization capabilities, building an Integrated Asset Model (IAM). Although IAM approach is recognized to be an effective tool for asset management, in some cases the simplified approach can be very useful to speed up the screening of different development scenarios without losing accuracy. In the real case considererd in this parer, the production logic was implemented for both methods and applied in the simulation of alternative development scenarios. Both approaches are able to resolve and handle the differences between alternative development scenarios in terms of production profiles, making all the needed information available to the project management team in due time to be able to strengthen the decision making process within an acceptable degree of accuracy.

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Section: Introductionmentioning

confidence: 99%

Simplified Network Simulation Vs. Integrated Asset Modelling for Management and Development of Offshore Gas Fields

Rossi

Casciano

Elmutardi

et al. 2015

Day 3 Wed, September 16, 2015

View full text Add to dashboard Cite

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An Integrated Production Modelling workflow for CSG production forecasting and optimisation

Shields¹,

Tihonova²,

Stott³

et al. 2016

Journal of Natural Gas Science and Engineering

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Integrated Production Modelling for CSG Production Forecasting

et al. 2015

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An Integrated Production Modelling process is presented that is used to automate CSG (Coal Seam Gas) production forecasts from reservoir to sales. This involved incorporating type curves representing future reservoir performance into a hydraulic model of the surface network. One of the key challenges was to convert time-dependent decline curve forecasts into time and pressure-dependent reservoir-well models suitable for Integrated Production Modelling process. Results are compared to other methods with reduced simulation time, improved accuracy and scenario analysis. This innovative approach used a combination of techniques to incorporate type curve based reservoir models into two large integrated production models. The first model consisted of 250 wells and a single compressor station and the second model consisted of 500 wells and multiple compressor stations. Different techniques were applied for wells that were pre or post dewatering and incorporated into a surface network modelling tool. This allowed production forecasts to be generated automatically for the single compressor station model and semi-automated for the multiple compressor station model whereby the system was solved to meet demand or to maximise production taking into account constraints. Type curve data was converted to a ‘tight gas’ reservoir model which showed a good match for wells post dewatering but not for wells that were still inclining. A combination of proprietary scripting in a network simulation program and macro code in Excel were used to handle system constraints optimisation. The time taken to run each scenario reduced significantly as the restriction moved from a human to the amount of computing power. Accuracy and repeatability of results also improved due to models being setup and solved in a consistent manner, thereby removing discrepancies associated with manually driven models. This allowed for more scenarios to be modelled in the time allocated to the production forecasting processes allowing for improved analysis and decision making. Previously type curved based reservoir models could not be solved by a surface network modelling tool automatically without human intervention. This was not possible due to the size and complexity of the surface network and because of the lack of time and pressure-dependent reservoir-well models suitable for Integrated Production Modelling process. The process outlined in this paper overcame this challenge.

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Advanced Integrated Field Modelling Approach in Development Planning and Management of Giant Gas Condensate Field

Cited by 5 publications

References 0 publications

Simplified Network Simulation Vs. Integrated Asset Modelling for Management and Development of Offshore Gas Fields

Simplified Network Simulation Vs. Integrated Asset Modelling for Management and Development of Offshore Gas Fields

An Integrated Production Modelling workflow for CSG production forecasting and optimisation

Integrated Production Modelling for CSG Production Forecasting

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