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Capitalizing on untapped potentials and quantifying risk is the key to success in a turbulent commodity industry. With an internal initiative to capture national knowledge and to safe guard sovereign data, Sharjah National Oil Corporation (SNOC) embarked on a multi-year journey to find, archive, digitize and integrate the entire E&P data in the Emirate dating from 1966 till date. The challenges and accomplishments of effective data management are demonstrated as a successful case study. Securing investment in a country’s petroleum industry demands for government agencies to add value to its oil & gas assets by making them readily available, globally. To do so, one of the most important steps was to effectively catalogue and manage technical information from both past as well as present exploration and production initiatives. Scattered archives for multi-disciplinary data including well reports, logs, maps, seismic sections, tapes, G&G studies, cores, cuttings and digital databases was centralized in one repository for the Emirate. A unified data quality assessment, metadata capture & naming convention was established for all data types including a technology infrastructure to enable maximum utilization and integration of data into future projects. Ambitious to exploit its current technical assets by evaluating historic data to attain maximum benefit to SNOC, partners and global investors; SNOC adopted a cohesive and effective physical & digital asset management approach with a phased methodology in early 2016. This data management activity was classified extremely critical to the E&P current and upcoming projects by laying the foundation for drilling SNOC’s 1st Exploration well, a successful Farm-out bid round, quantifying workover opportunities, regional interpretation and performing field development simulations. Centralizing and integrating the data management function enabled the operator to identify data gaps and work on fulfilling them to successfully establish a regional technical data center. The paper discusses the challenges of gathering, extracting and incorporating legacy data; shedding light on the value it generated in paving the way for a digital transformation in SNOC’s E&P business. Fluctuating technological, political and business influences add to the volatility and risk in the oil and gas business. The framework and success of future opportunities is reliant on the data used to quantify them. The method chosen for this journey was to modularize the data management project and structure best in class industry solutions for each aspect. The architecture for data management implemented is cost-effective; which is scalable and upgradable with minimum effort into a digital hub of information & knowledge management.
Capitalizing on untapped potentials and quantifying risk is the key to success in a turbulent commodity industry. With an internal initiative to capture national knowledge and to safe guard sovereign data, Sharjah National Oil Corporation (SNOC) embarked on a multi-year journey to find, archive, digitize and integrate the entire E&P data in the Emirate dating from 1966 till date. The challenges and accomplishments of effective data management are demonstrated as a successful case study. Securing investment in a country’s petroleum industry demands for government agencies to add value to its oil & gas assets by making them readily available, globally. To do so, one of the most important steps was to effectively catalogue and manage technical information from both past as well as present exploration and production initiatives. Scattered archives for multi-disciplinary data including well reports, logs, maps, seismic sections, tapes, G&G studies, cores, cuttings and digital databases was centralized in one repository for the Emirate. A unified data quality assessment, metadata capture & naming convention was established for all data types including a technology infrastructure to enable maximum utilization and integration of data into future projects. Ambitious to exploit its current technical assets by evaluating historic data to attain maximum benefit to SNOC, partners and global investors; SNOC adopted a cohesive and effective physical & digital asset management approach with a phased methodology in early 2016. This data management activity was classified extremely critical to the E&P current and upcoming projects by laying the foundation for drilling SNOC’s 1st Exploration well, a successful Farm-out bid round, quantifying workover opportunities, regional interpretation and performing field development simulations. Centralizing and integrating the data management function enabled the operator to identify data gaps and work on fulfilling them to successfully establish a regional technical data center. The paper discusses the challenges of gathering, extracting and incorporating legacy data; shedding light on the value it generated in paving the way for a digital transformation in SNOC’s E&P business. Fluctuating technological, political and business influences add to the volatility and risk in the oil and gas business. The framework and success of future opportunities is reliant on the data used to quantify them. The method chosen for this journey was to modularize the data management project and structure best in class industry solutions for each aspect. The architecture for data management implemented is cost-effective; which is scalable and upgradable with minimum effort into a digital hub of information & knowledge management.
SNOC embarked on an ambitious project to extract maximum value out of its mature fractured carbonate fields by converting them to underground gas storage facilities. This required the integration of a multitude of new and legacy data including new seismic acquisition, advanced processing and interpretation along with geophysical modelling, PVT, petrophysical and injection/pressure profiles to develop a robust reservoir model for the Moveyeid gas-condensate field. Enabling the operator to use this tool for advanced gas storage simulation predictions and to quantify risk in field development strategy to maximize condensate recovery while minimizing cushion gas volumes. Various seismic frequency cubes and survey vintages were used to delineate the Moveyeid structure and map top Shuaiba formation within the Thamama carbonates of Onshore Sharjah. Legacy wireline logs were reinterpreted using new multi-log workflows, providing inputs for static model development. As a mature field, in production for over 35+ years, cumulative produced volumes were used as an additional control, creating several iterations until achieving a match that honoured the geology. PTA, RFT and PLT were integrated in the model to quantify flow change over time. Advanced imaging revealed a north-South trending normal fault that segmented the field in to two, with all existing wells located on the up-thrown eastern block. Volumetric determination revealed that the eastern block alone was not sufficient to match hydrocarbons produced to date in any static scenario modelled. This was achieved with the inclusion of the western block and an unchanged gas-water contact. The new static model developed is more robust, with an enhanced layering configuration and property arrays that better reflect input data. Benefits were also seen during dynamic simulation where lower property multipliers were applied during history matching. Optimizing the layering and using block parallel computing power enabled the team to considerably reduce runtimes and produce an array of scenarios. The model was put to the test when the gas injection pilot project was commissioned in 2017 with low-pressure injection up to 2020, yielding a well performance accuracy within 5% of actual rates. Optimizing the strategy was essential in reducing planned cushion gas requirements by up to 20% for meeting the production target in the depleted reservoir, improving the project's capex. Utilising a combination of new and legacy data, a depleted gas-condensate carbonate reservoir has been successfully modelled. The model is being used as a tool to formulate the strategy and effectively define the field's suitability for gas storage and enhanced condensate recovery. This paper provides a case study for how these strategies can be implemented in other Middle Eastern analogues where gas storage in mature fields can act as a strategic tool for energy security.
Sharjah National Oil Corporation (SNOC) operates 4 onshore gas condensate reservoirs of which 3 are very mature consisting of 50+ wells producing corrosive hydrocarbons for over 30 years. The integrity of these legacy wells is frequently questioned before any development is conceptualized, thus making it critical to evaluate the well integrity. The cost associated with pulling completions for their evaluation and running logs in all wells is significant and the availability of various emerging technologies for corrosion analysis in the market makes it challenging to choose the most reliable one. This paper focuses on the detailed analysis and comparison of electromagnetic thickness logs run in 10% of the well stock from 2016 to post-workover surface inspection of the downhole recovered tubing's in 2020/21. It also quantifies how correlating different logging technologies for well integrity increases the reliability of the electromagnetic technology applied on offset wells. The paper also showcases a comparison between mechanical and electromagnetic thickness evaluation of the production casing in-situ. Data from all the available logs from past 5 years was compiled for 6 wells. On recovery of the downhole completion tubings via a hydraulic workover, an ultrasonic (UT) inspection was performed on them at surface. Both sets of results (logs and surface inspection) were analyzed on the same logging track to give a comprehensive comparison of actual observation on surface vs the measurement by in-situ logging. Another multi-barrier corrosion and caliper log were run in the production casing to analyze their outcomes alongside older results. The final step was a comparison of all available data to create a broad well integrity profile. It was observed that the remaining production tubing metal thickness detected by electromagnetic tool (logs) and surface ultrasonic measurements were in good conformance (+/-10%). In the corrosion evaluation of the production casing, the electromagnetic tool matched extremely well with the caliper log results. This shows a large reliability of this technology to quantify corrosion in offset wells. The correlation of logs with surface inspection results across wells in the same reservoir did not indicate a strong presence of external corrosion. The study enables the management to make critical business decisions on utilizing the well stock for the future. This work is the first time a comprehensive and critical analysis on the electromagnetic thickness logging technology has been done, comparing their results of remaining wall thickness to various technologies in-situ and on surface. The analysis not only compares technology from various providers, but also mechanical vs electromagnetic measurements along with their respective advantages in quantifying well integrity assurance. The paper also gives an idea on the condition of L-80 tubulars under service for 30+ years.
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