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Real time data provides key information that can be used to monitor oil and gas wells to maintain well integrity and avoid costly failures. Integrity management is at the heart of BP's operating philosophy. The company uses new technologies enabled by real time data to allow continuous improvement in well integrity management.The use of real time rate calculations has provided technical assurance to maximize production within BP's deepwater subsea field development. Production has been increased by 10,000 stb/D while maintaining well integrity and process safety assurance within safe engineering operating limits. Similarly, the Na Kika fields apply advanced flux based tools and sand alarming capabilities to protect wells from sand completion failure. Additional fields are currently using BP proprietary technology to monitor and proactively alarm on wellhead annulus pressures, successfully mitigating the well integrity risk of collapsed tubing.Well integrity management is critical for any operating company. In deep water environments where subsea well costs can exceed 100 million dollars, loss of well integrity can have serious consequences associated with production capability, loss of containment, reputational damage, and regulatory license to operate. Application of new technologies is transforming simplistic past practices into highly sophisticated automated monitoring and advanced control mechanisms enabled by real time data. These technologies have a vital role in delivering advanced capabilities so that engineers can make better decisions, faster, to help retain long term value. This paper, through case studies, will demonstrate the ability to use innovative workflows and technologies, enabled by real time data, to identify and mitigate well integrity risks. Key risks such as annulus leaks, sand control failures, and mechanical failures are monitored using Field of the Future technologies. These examples from different operating areas of BP will demonstrate continuous improvement, showing how engineers use these technologies to maintain well integrity.
Real time data provides key information that can be used to monitor oil and gas wells to maintain well integrity and avoid costly failures. Integrity management is at the heart of BP's operating philosophy. The company uses new technologies enabled by real time data to allow continuous improvement in well integrity management.The use of real time rate calculations has provided technical assurance to maximize production within BP's deepwater subsea field development. Production has been increased by 10,000 stb/D while maintaining well integrity and process safety assurance within safe engineering operating limits. Similarly, the Na Kika fields apply advanced flux based tools and sand alarming capabilities to protect wells from sand completion failure. Additional fields are currently using BP proprietary technology to monitor and proactively alarm on wellhead annulus pressures, successfully mitigating the well integrity risk of collapsed tubing.Well integrity management is critical for any operating company. In deep water environments where subsea well costs can exceed 100 million dollars, loss of well integrity can have serious consequences associated with production capability, loss of containment, reputational damage, and regulatory license to operate. Application of new technologies is transforming simplistic past practices into highly sophisticated automated monitoring and advanced control mechanisms enabled by real time data. These technologies have a vital role in delivering advanced capabilities so that engineers can make better decisions, faster, to help retain long term value. This paper, through case studies, will demonstrate the ability to use innovative workflows and technologies, enabled by real time data, to identify and mitigate well integrity risks. Key risks such as annulus leaks, sand control failures, and mechanical failures are monitored using Field of the Future technologies. These examples from different operating areas of BP will demonstrate continuous improvement, showing how engineers use these technologies to maintain well integrity.
Sand-face completion technology for gas wells has evolved to overcome problems associated with sand and water production. Frac-packs, gravel packs, screens and oriented or selectively perforated completions have all been applied to gas wells to maintain wellbore integrity and control expected, late-life production challenges. However, none of these completion designs are capable of managing variable productivity, pressure or sanding tendency when producing multiple reservoir layers into a single wellbore. The result is premature water and (often) sand production. Intelligent completions employing Interval Control Valves (ICVs) can successfully manage these problems. However, not only are there limitations on the number of zones that can be separately controlled, but the hardware is also susceptible to the increased erosion potential of the high flow velocities associated with gas production. Inflow Control Devices (ICDs) are an alternative Advanced Well Completion (AWC) technology. An ICD employs a passive flow restriction mounted on each joint of tubing or sand-control screen. The Autonomous Inflow Control Device (AICD) adds an "Active" water shut-off element to the flow equalisation provided by the standard ICD. An (A)ICD completion consists of multiple joints of (A)ICD equipped tubing separated into the required number of zones by Annular Flow Isolation (AFI). Such completions have the ability to equalise the gas inflow from many more layers (or even separate reservoirs) than is possible with an ICV or separated conventional completion. This paper will present a critical evaluation of the ICD and AICD technologies together with a novel design methodology for their application to gas fields. This will be complemented by two case studies based on real data from both a gas and a gas- condensate field. These studies will be used to illustrate the application of the design workflow along with the potential advantages and added value derived by installing (A)ICD completions. This design methodology and the field studies provide the basis for an extension of the (A)ICD's application envelope.
Many equiprobable solutions exist while history matching a reservoir's performance, given the ill-posed nature of the inverse problem. To mitigate some of the uncertainty issues stemming from the initial static reservoir description, this study shows how continuous learning evolves when a slate of analytical tools are used while interpreting real-time surveillance data. The combined approach involving the use of analytical tools in conjunction with numerical simulations helps understanding reservoir performance, which, in turn, allows insights into history matching. Specifically, we demonstrate the use of various analytical tools to learn about (a) time-dependent behavior of both producers and injectors with rate-transient analysis to assess an evolving waterflood, (b) reservoir heterogeneity with pressure-transient analysis, (c) degrees of time-variant injection support with the reciprocal-productivity index, (d) injector-producer connectivity with the capacitance-resistance model, and (e) real-time injection-well behavior with the modified-Hall analysis. The benefits of collective use of analytic tools demonstrate that they should be used either simultaneously or preferably before undertaking a detailed numeric flow-simulation study, particularly where real-time data are being gathered. In particular, the lack of performance match for the entire history with a numerical model becomes transparent when the learning from analytical tools is juxtaposed. This understanding paves the way for much improved learning of reservoir plumbing.
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