Digital Field Development Planning: A Collaboration Between Technology & Process to Enable Fast and Efficient Field Development Planning

2021 ◽  
Author(s):  
Mohd Aminuddin Bin Md Karim

Abstract O&G industry is facing difficult business climate with many uncertainties and challenges. Companies including National Oil Companies, NOCs have to be more efficient particularly in developing fields. The challenge is to create an environment to allow E&P companies to efficiently optimize their Field Development Plan, FDP processes and align with technology that enables integration & collaboration between different E&P domains. The environment should be agile to allow changing of circumstances while providing in-depth understanding of the risks and uncertainties involved. PETRONAS has a large portfolio of domestic and international oil & gas assets and is one of the leading NOCs in the world. With the ongoing potential of uncertainty of oil price, it is even more important to fast track field development planning while understanding the risk across domains and recognizing value from investments. PETRONAS has embarked on a digital field development pilot project called Live FDP that enriches internal existing FDP processes & tools to provide integration and generate efficiencies across multi-discipline in E&P workflows and systems that leverage on capabilities enabled by a Digital Cloud based solution. The Digital Planning Application methodology starts with Project Orchestration: Building FDPs using multi-disciplinary inputs and sensitivities followed by managing and framing via capturing an opportunity framework and concept decision. The process will then lead to generating multiple scenarios and evaluations for development options via seamless connectivity and integration with other systems in an Open Platform. At this point, process automation via connectivity of technical domain inputs to Value Based Decision Making will take place alongside Data Discovery & Benchmarks, underpinned by insights, Optimization & Advisory. The Data Analytics will then enable powerful business intelligence & analytics reporting capabilities translated into a Digital Dashboard: alignment with the UPMS process and management systems. Such systems allow project maturation to be completed fast and thus future scalability with expansion apart from Development phase to other phases such as Exploration, Drilling, Facility & Business Planning Workflows can be implemented. Based on recent internal evaluation on a pilot project in Peninsular Malaysia, by conducting Live FDP, the process efficiency in FDP evaluation scenarios was improved by up to 50% while simulation runs were shortened from 2 hrs to 20mins. On top of that, Integration & Collaboration involving benchmarking capability and via Data Ecosystem that allow cross domain collaboration between departments. This provides business continuity through data log for auditing purpose, single source of truth that leads to the increase of confidence and less uncertainties with breadth of multiple scenarios that allow techno-commercial evaluations and benchmarking with internal and external data. This paper will open up the mindset on the ways of how FDP can be developed with a new digital application that improves the project efficiency involving online cloud-based technology that allows multiple iterative processes in both technical and commercial aspects of the project. This is the new way of working that suits the difficult business climate that the O&G industry is currently facing.

Author(s):  
Atheer Dheyauldeen ◽  
Omar Al-Fatlawi ◽  
Md Mofazzal Hossain

AbstractThe main role of infill drilling is either adding incremental reserves to the already existing one by intersecting newly undrained (virgin) regions or accelerating the production from currently depleted areas. Accelerating reserves from increasing drainage in tight formations can be beneficial considering the time value of money and the cost of additional wells. However, the maximum benefit can be realized when infill wells produce mostly incremental recoveries (recoveries from virgin formations). Therefore, the prediction of incremental and accelerated recovery is crucial in field development planning as it helps in the optimization of infill wells with the assurance of long-term economic sustainability of the project. Several approaches are presented in literatures to determine incremental and acceleration recovery and areas for infill drilling. However, the majority of these methods require huge and expensive data; and very time-consuming simulation studies. In this study, two qualitative techniques are proposed for the estimation of incremental and accelerated recovery based upon readily available production data. In the first technique, acceleration and incremental recovery, and thus infill drilling, are predicted from the trend of the cumulative production (Gp) versus square root time function. This approach is more applicable for tight formations considering the long period of transient linear flow. The second technique is based on multi-well Blasingame type curves analysis. This technique appears to best be applied when the production of parent wells reaches the boundary dominated flow (BDF) region before the production start of the successive infill wells. These techniques are important in field development planning as the flow regimes in tight formations change gradually from transient flow (early times) to BDF (late times) as the production continues. Despite different approaches/methods, the field case studies demonstrate that the accurate framework for strategic well planning including prediction of optimum well location is very critical, especially for the realization of the commercial benefit (i.e., increasing and accelerating of reserve or assets) from infilled drilling campaign. Also, the proposed framework and findings of this study provide new insight into infilled drilling campaigns including the importance of better evaluation of infill drilling performance in tight formations, which eventually assist on informed decisions process regarding future development plans.


2015 ◽  
Author(s):  
A. V. Alferov ◽  
A. G. Lutfurakhmanov ◽  
K. V. Litvinenko ◽  
S. E. Zdolnik

2016 ◽  
Vol 56 (1) ◽  
pp. 29 ◽  
Author(s):  
Neil Tupper ◽  
Eric Matthews ◽  
Gareth Cooper ◽  
Andy Furniss ◽  
Tim Hicks ◽  
...  

The Waitsia Field represents a new commercial play for the onshore north Perth Basin with potential to deliver substantial reserves and production to the domestic gas market. The discovery was made in 2014 by deepening of the Senecio–3 appraisal well to evaluate secondary reservoir targets. The well successfully delineated the extent of the primary target in the Upper Permian Dongara and Wagina sandstones of the Senecio gas field but also encountered a combination of good-quality and tight gas pay in the underlying Lower Permian Kingia and High Cliff sandstones. The drilling of the Waitsia–1 and Waitsia–2 wells in 2015, and testing of Senecio-3 and Waitsia-1, confirmed the discovery of a large gas field with excellent flow characteristics. Wireline log and pressure data define a gross gas column in excess of 350 m trapped within a low-side fault closure that extends across 50 km2. The occurrence of good-quality reservoir in the depth interval 3,000–3,800 m is diagenetically controlled with clay rims inhibiting quartz cementation and preserving excellent primary porosity. Development planning for Waitsia has commenced with the likelihood of an early production start-up utilising existing wells and gas processing facilities before ramp-up to full-field development. The dry gas will require minimal processing, and access to market is facilitated by the Dampier–Bunbury and Parmelia gas pipelines that pass directly above the field. The Waitsia Field is believed to be the largest conventional Australian onshore discovery for more than 30 years and provides impetus and incentive for continued exploration in mature and frontier basins. The presence of good-quality reservoir and effective fault seal was unexpected and emphasise the need to consider multiple geological scenarios and to test unorthodox ideas with the drill bit.


2021 ◽  
Author(s):  
Qasem Dashti ◽  
Saad Matar ◽  
Hanan Abdulrazzaq ◽  
Nouf Al-Shammari ◽  
Francy Franco ◽  
...  

Abstract A network modeling campaign for 15 surface gathering centers involving more than 1800 completion strings has helped to lay out different risks on the existing surface pipeline network facility and improved the screening of different business and action plans for the South East Kuwait (SEK) asset of Kuwait Oil Company. Well and network hydraulic models were created and calibrated to support engineers from field development, planning, and operations teams in evaluating the hydraulics of the production system for the identification of flow assurance problems and system optimization opportunities. Steady-state hydraulic models allowed the analysis of the integrated wells and surface network under multiple operational scenarios, providing an important input to improve the planning and decision-making process. The focus of this study was not only in obtaining an accurate representation of the physical dimension of well and surface network elements, but also in creating a tool that includes standard analytical workflows able to evaluate wells and surface network behavior, thus useful to provide insightful predictive capability and answering the business needs on maintaining oil production and controlling unwanted fluids such as water and gas. For this reason, the model needs to be flexible enough in covering different network operating conditions. With the hydraulic models, the evaluation and diagnosis of the asset for operational problems at well and network level will be faster and more effective, providing reliable solutions in the short- and long-terms. The hydraulic models enable engineers to investigate multiple scenarios to identify constraints and improve the operations performance and the planning process in SEK, with a focus on optimal operational parameters to establish effective wells drawdown, evaluation of artificial lifting requirements, optimal well segregation on gathering centers headers, identification of flow assurance problems and supporting production forecasts to ensure effective production management.


2020 ◽  
Author(s):  
R. Bordas ◽  
J.R. Heritage ◽  
M.A. Javed ◽  
G. Peacock ◽  
T. Taha ◽  
...  

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