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A novel and alternate field-wide well integrity management system is presented that uses historical wireline acquired well integrity data along with relevant static and dynamic data to generate visually interactive and customizable well integrity maps, reports, and plots that could facilitate field development planning and reduce surveillance and well intervention efforts and costs. The initial system has been designed using two commonly acquired types of well integrity data, namely corrosion and cement evaluation data. However, the proposed solution can be extended to incorporate any type of cased hole or open-hole data. The key components of this novel system are a centralized database for all related data, customizable corrosion and cement quality maps, field characterization maps, candidate ranking lists, and a centralized repository for all historical processed logs and reports. To ensure the accuracy of the data visualization and data analytics, all the acquired wireline logs are first quality-checked, processed, and interpreted on a processing and interpretation platform such as Techlog (SLB software). The results are then organized and stored on an Oil Field Manager (OFM, SENSIA Software) compatible database such as Microsoft (MS) Access. Finally, the results are pushed to a visualization platform, such as OFM for subsequent data visualization and analytics. This management system aims to address the challenges associated with well integrity data. This data comes from many sources, uses different technologies, is acquired by different vendors, and as a result is stored in different formats. This makes it cumbersome for operators to extract actionable information from this data efficiently and accurately. The deployment of the proposed management system provides operators with a high-level view of the present well integrity status of the field, contains information on the well integrity history of the field, as well as has the potential to predict future well integrity related issues. Integration of relevant static and dynamic data also facilitates a deeper understanding of the field-wide well integrity by facilitating correlations between different well-level parameters. Based on all the data inputs and subsequent outputs, a candidate ranking system is generated which ranks the wells based on the prevalence and seriousness of well integrity issues, thereby alerting operators to take appropriate action. A future use-case of these maps is linkage with dynamic databases, which will enable continuous data flow through surface sensors and gauges. This will provide operators with a live, integrated snapshot of the production and well integrity performance of their assets. This novel well integrity management system is conceptualized to shift operators' focus from data gathering to data analytics by leveraging and integrating multiple sources of massive data and providing operators with a high-level snapshot of the well integrity status of the entire field. This system is envisioned to improve efficiency, optimize workovers, and greatly reduce the carbon footprint associated with well intervention operations. Eventually, through enhanced data analytics, operators can exercise greater control over the well integrity of their fields.
A novel and alternate field-wide well integrity management system is presented that uses historical wireline acquired well integrity data along with relevant static and dynamic data to generate visually interactive and customizable well integrity maps, reports, and plots that could facilitate field development planning and reduce surveillance and well intervention efforts and costs. The initial system has been designed using two commonly acquired types of well integrity data, namely corrosion and cement evaluation data. However, the proposed solution can be extended to incorporate any type of cased hole or open-hole data. The key components of this novel system are a centralized database for all related data, customizable corrosion and cement quality maps, field characterization maps, candidate ranking lists, and a centralized repository for all historical processed logs and reports. To ensure the accuracy of the data visualization and data analytics, all the acquired wireline logs are first quality-checked, processed, and interpreted on a processing and interpretation platform such as Techlog (SLB software). The results are then organized and stored on an Oil Field Manager (OFM, SENSIA Software) compatible database such as Microsoft (MS) Access. Finally, the results are pushed to a visualization platform, such as OFM for subsequent data visualization and analytics. This management system aims to address the challenges associated with well integrity data. This data comes from many sources, uses different technologies, is acquired by different vendors, and as a result is stored in different formats. This makes it cumbersome for operators to extract actionable information from this data efficiently and accurately. The deployment of the proposed management system provides operators with a high-level view of the present well integrity status of the field, contains information on the well integrity history of the field, as well as has the potential to predict future well integrity related issues. Integration of relevant static and dynamic data also facilitates a deeper understanding of the field-wide well integrity by facilitating correlations between different well-level parameters. Based on all the data inputs and subsequent outputs, a candidate ranking system is generated which ranks the wells based on the prevalence and seriousness of well integrity issues, thereby alerting operators to take appropriate action. A future use-case of these maps is linkage with dynamic databases, which will enable continuous data flow through surface sensors and gauges. This will provide operators with a live, integrated snapshot of the production and well integrity performance of their assets. This novel well integrity management system is conceptualized to shift operators' focus from data gathering to data analytics by leveraging and integrating multiple sources of massive data and providing operators with a high-level snapshot of the well integrity status of the entire field. This system is envisioned to improve efficiency, optimize workovers, and greatly reduce the carbon footprint associated with well intervention operations. Eventually, through enhanced data analytics, operators can exercise greater control over the well integrity of their fields.
Recurring safety incidents due to unexpected gas leaks from downhole and sustained annulus pressure issue have become major catastrophic events which warrant an integrated solution to determine the leakage pathways, the root causes and the remedial job required. The unexpected gas migration has impacted the production leading to permanent well abandonment leaving a significant gap to meet the production target. Hence, a proactive diagnostic and remedial solution are required in place as an agile response to the uprising crises. This paper will highlight few case studies from well abandonment in offshore Malaysia involving gas migration and the application of emerging technology to diagnose the root cause and source of the unwanted gas. Major sources of gas migration can include the shallow gas accumulation and gas channeling from deeper reservoirs either through tubing leak or behind casing seepage through the poorly bonded cement across the cased interval. A novel technology combining fiber optic, acoustic and ultrasonic measurement principles were deployed to simultaneously evaluate cement bond quality and zonal isolation in both single and dual casing layers. Compressional sonic measurement gives indication of shallow gas presence in the far field due to the deeper depth of investigation while fiber optic data will reveal the near wellbore effects behind the casing. In addition fluid samples from pre and post production wells were also analysed for leakage source determination. Results indicate that cement bond quality across the target cap rock intervals are mostly poor and do not qualify as barrier in well abandonment. This finding agrees well with compressional sonic logging and fiber optic run in the shallower well section where absence of cement has caused intense casing ringing and impacts the log data quality accordingly. The novel dual casings cement bond logging tool also indicates poor cement isolation when run across the double casing layers. The observation has been validated with independent cement bond logging run in the outer casing after the inner casing was cut and pulled. Another case study confirms presence of good cement isolation behind the casing after log validation run post tubing retrieval. Comparison of hydrocarbon composition between pre and post production fluid samples taken in similar reservoir group also revealed that the source of gas migration is coming from the deeper reservoirs through the upper tubing leak as confirmed by tubing integrity check. In conclusion, deployment of dual casings cement bond logging technology has successfully provided critical insights in real time for further decision on the remedial job. Operational efficiency, cost and time have been significantly enhanced by minimizing online rig activities and reducing equipment standby period. The case study represents an innovative and integrated solution combining both near and far field perspectives for safe well abandonment. Particularly for dual casings cement integrity evaluation special care needs to be taken during job planning, monitoring and interpretation of the results due to limited database and reference data sets.
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