Remote Operations—A Remote Possibility, or the Way We Do Things ‘Round Here?

TX 75083-3836, U.S.A., fax +1-972-952-9435 AbstractThis paper describes the implementation of an optimization advisory system by Sarawak Shell Bhd. on the integrated gas production system in Sarawak, to help monitor and optimize in real-time the more than 100 wells on 30+ facilities of the system, governed by different Production Sharing Contracts. We highlight how multiple disciplines are part of the solution, how the solution has been embedded to provide real-time advisory to planners and operators, and the challenges faced.

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Section: Discussionmentioning

confidence: 99%

Architecture and Implementation of an Optimization Decision Support System

2013

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“…3) Monthly plan data can be copied into the model. 1) The system does not explicitly take into consideration equipment status or equipment constraints, but the operator can manually adjust the overall, current platform capacity based on the latest operational information.…”

Section: Commercial Constraintsmentioning

confidence: 99%

“…• Use of chemicals: PU continuously calculates required ppm of chemicals injected based on well flow rate estimates and advises operator accordingly; • Reducing FTEs: applying of Real-Time Optimization has lead to the reduction of a team involved in optimization and allocation [3]; • Reducing logistics exposure: after introduction of PU and 'well intervention by exception', a Shell operator successfully eliminated one boat, saving some US$1mln per annum; • Emissions Reduction [2]: PU estimates provide a real-time handle on flaring and fuel gas consumption levels. If correlated to plant output, the cost of emissions can be weighed against the output of the plant and optimized.…”

Section: Figure 10mentioning

confidence: 99%

Successful Real-Time Optimization of a Highly Complex, Integrated Gas System: Intelligent Energy in the Real World

et al. 2012

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This paper describes the successful application of Real-Time Optimization by Shell Malaysia E&P on the Integrated Gas Production System in Sarawak, implementing models for real-time monitoring and optimization of wells and facilities on a gas production network spanning more than 100 wells on more than 40 platforms across a number of different Production Sharing Contracts. We highlight how Digital Oil Field practices enable field-based data to be turned into information, support decision making, and lead to actions that ensure production is optimized continuously.The technology described in this paper is applied to achieve consistent gas supply to meet demand, maximize revenue, and enable improved and timely operational decisions -striking a balance between short-and long-term value, and taking into account the reality of commercial and contractual constraints, finance, and economics. The optimization is data-driven and covers more than 1,000 variables and features multiple, mutually dependent objectives and constraints.The solution has proven significantly better than prior physical model-based solutions, which deliver optimized field settings, but with inherently unstable results, and not fast enough for application in a real-time decision making environment. Field trials have proven a result of: increased condensate production at current or improved expected Ultimate Recovery, whilst maintaining a stable gas supply, fulfilling quality constraints and contractual LNG nominations. This is one of the first successful attempts to implement truly-real-time optimization in a production environment of this size and complexity, including a complicated set of commercial and contractual constraints, and striking a transparent balance between short-term and long-term value. Having proven that a multi-departmental reality can be successfully captured and modeled, might mark the start of a transformation towards embedding intelligent energy to its true potential.

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A Measure of The Digital Oil Field Status – Is It The End of The Beginning?

et al. 2012

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The so-called Digital Oil Field (DOF) is a somewhat ill-defined, misunderstood and abstract concept. The associated functional content, scope of work and terminology is variable from company to company and vague within companies. Consequently it is unclear how to gauge DOF degree of success, business benefit and effective organizational penetration. It is also sometimes unclear what the ultimate goals and associated road-maps are. With clear objectives, clarity of purpose and sufficient business justification there is a reasonable chance of meeting these goals, without clarity all is shrouded in mystique and uncertainty. Hence the purposes of this paper are to: Define precisely what is meant by the DOF; Describe the current operational status quo and compare and contrast with the ideal DOF; Define metrics that can be used to gauge the success of DOF initiatives. This will be achieved by illustrating what the DOF is, and what it is not, in terms of oil and gas field infrastructure, applications and experiences. Application of the metrics defined will allow users to determine whether it is "the beginning of the end, or the end of the beginning for their DOF."

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Remote Operations—A Remote Possibility, or the Way We Do Things ‘Round Here?

Cited by 7 publications

References 12 publications

Architecture and Implementation of an Optimization Decision Support System

Architecture and Implementation of an Optimization Decision Support System

Successful Real-Time Optimization of a Highly Complex, Integrated Gas System: Intelligent Energy in the Real World

A Measure of The Digital Oil Field Status – Is It The End of The Beginning?

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