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The execution phase of the wells technical assurance process is a critical procedure where the drilling operation commences and the well planning program is implemented. During drilling operations, the real-time drilling data are streamed to a real-time centre where it is constantly monitored by a dedicated team of monitoring specialists. If any potential issues or possible opportunities arise, the team will communicate with the operation team on rig for an intervention. This workflow is further enhanced by digital initiatives via big data analytics implementation in PETRONAS. The Digital Standing Instruction to Driller (Digital SID) is a drilling operational procedures documentation tool meant to improve the current process by digitalizing information exchange between office and rig site. Boasting multi-operation usage, it is made fit to context and despite its automated generation, this tool allows flexibility for the operation team to customize the content and more importantly, monitor the execution in real-time. Another tool used in the real-time monitoring platform is the dynamic monitoring drilling system where it allows real-time drilling data to be more intuitive and gives the benefit of foresight. The dynamic nature of the system means that it will update existing roadmaps with extensive real-time data as they come in, hence improving its accuracy as we drill further. Furthermore, an automated drilling key performance indicator (KPI) and performance benchmarking system measures drilling performance to uncover areas of improvement. This will serve as the benchmark for further optimization. On top of that, an artificial intelligence (AI) driven Wells Augmented Stuck Pipe Indicator (WASP) is deployed in the real-time monitoring platform to improve the capability of monitoring specialists to identify stuck pipe symptoms way earlier before the occurrence of the incident. This proactive approach is an improvement to the current process workflow which is less timely and possibly missing the intervention opportunity. These four tools are integrated seamlessly with the real-time monitoring platform hence improving the project management efficiency during the execution phase. The tools are envisioned to offer an agile and efficient process workflow by integrating and tapering down multiple applications in different environments into a single web-based platform which enables better collaboration and faster decision making.
The execution phase of the wells technical assurance process is a critical procedure where the drilling operation commences and the well planning program is implemented. During drilling operations, the real-time drilling data are streamed to a real-time centre where it is constantly monitored by a dedicated team of monitoring specialists. If any potential issues or possible opportunities arise, the team will communicate with the operation team on rig for an intervention. This workflow is further enhanced by digital initiatives via big data analytics implementation in PETRONAS. The Digital Standing Instruction to Driller (Digital SID) is a drilling operational procedures documentation tool meant to improve the current process by digitalizing information exchange between office and rig site. Boasting multi-operation usage, it is made fit to context and despite its automated generation, this tool allows flexibility for the operation team to customize the content and more importantly, monitor the execution in real-time. Another tool used in the real-time monitoring platform is the dynamic monitoring drilling system where it allows real-time drilling data to be more intuitive and gives the benefit of foresight. The dynamic nature of the system means that it will update existing roadmaps with extensive real-time data as they come in, hence improving its accuracy as we drill further. Furthermore, an automated drilling key performance indicator (KPI) and performance benchmarking system measures drilling performance to uncover areas of improvement. This will serve as the benchmark for further optimization. On top of that, an artificial intelligence (AI) driven Wells Augmented Stuck Pipe Indicator (WASP) is deployed in the real-time monitoring platform to improve the capability of monitoring specialists to identify stuck pipe symptoms way earlier before the occurrence of the incident. This proactive approach is an improvement to the current process workflow which is less timely and possibly missing the intervention opportunity. These four tools are integrated seamlessly with the real-time monitoring platform hence improving the project management efficiency during the execution phase. The tools are envisioned to offer an agile and efficient process workflow by integrating and tapering down multiple applications in different environments into a single web-based platform which enables better collaboration and faster decision making.
OBJECTIVE / SCOPE Performance improvement to reduce the cost is a common goal for the industry, there are many initiatives and processes now in place, applying different techniques. Most of these techniques are dependent on operational time-distribution analysis, to benchmark current performance and predict future performance, while identifying improvement opportunities. An objective, standard, yet flexible tool is required to support these different approaches. Authors will share their experience of developing a method and tool that serves this purpose. METHODS, PROCEDURES, PROCESS The tool provides an environment that enables users perform different types of analytics: descriptive, predictive and prescriptive on the operational time-distribution data. The data sources in this environment are integrated seamlessly to facilitate comparative analyses on many aspects of drilling performance providing the following: Compare actual performance with the planAllow pre-, post-, and active-execution performance analysisIdentify current performance limitations and potential improvementBenchmark performance for different teams, contractors and service providersInvestigate lost time incidents; evaluate their impact; and discover root causes behind itProduce an automated Ultimate Drilling Curve and build realistic time estimates for future wells RESULTS, OBSERVATIONS, CONCLUSIONS The proposed system architecture contains four main modules, which provide the aforementioned functionalities, through comprehensive interactive tools to facilitate analysis of drilling time at different levels of granularity. These modules are: Wells Similarity Identification, filtration, and Selection moduleGeneral Time Distribution Comparison moduleProgress Charts (time versus depth) Analysis moduleLearning Curve Evaluation module The proposed system functionality will be introduced through this paper in addition to a methodology to utilize these tools to perform variety of comprehensive performance analysis studies. NOVEL/ADDITIVE INFORMATION The proposed system is an integrated interactive platform for different user groups to run sophisticated performance analytics and studies efficiently and effectively without being limited to specific scenarios or data types.
With the current format of SIDs being completely different each project and manually typed in every rigs, improving operational performance based on lessons learned can be quite complicated. The digitalization of Standing Instruction to Driller (SID) can help to overcome this pain point by standardizing and synchronizing SIDs throughout company's operations globally. The paper approaches the subject by introducing a much leaner and seamless method in registering an SID. This can be achieved by having relevant drilling personnel to pick and choose from a common database of SIDs which is frequently updated and verified via web-based platform. The dropdown will be automatically filtered by the application according to the BHA and/or other relevant filter categories chosen. Digital SID drafting process will begin after Notice of Operations (NOOP) has been completed. Information from the NOOP will be populated in the Digital SID platform with all the required associated details including but not limited to BHA designs, hole sections, depths, procedures and lessons learned. These SIDs will have to be agreed and approved by assigned personnel prior to the execution of the operation. Since the solution is capable to create a high quality SID which is readable by both human and machine, it can be integrated with real-time sensors to provide automatic detection for every operation in the SIDs. Therefore, implementation of this Digital SID solution can sustain SIDs consistency across different projects and capable to embed insights in context for future reference. Direct business value created from Digital SID improves process cycle efficiency in a project well life cycle.
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