Comprehensive Validation of Current Field Development and Production Operation Strategy with Integrated Asset Modeling Approach

Author(s):  
S.H. Khor ◽  
J. Dudek ◽  
B. Kawecki ◽  
P. Wójcik ◽  
K. Pietrzyk ◽  
...  
2021 ◽  
Author(s):  
Siew Hiang Khor ◽  
Jacek Dudek ◽  
Piotr Wojcik ◽  
Krzysztof Pietrzyk ◽  
Daniel Podsobinski ◽  
...  

Abstract Integrated field management is a key initiative recognised by many operators that helps delivering the promise of digital to meet their business strategic objectives of increased hydrocarbon production, reduced exploration and appraisal costs, and sustained development and operation costs. This paper presents how an integrated asset model has been developed for the largest oilfield in Poland to enable a comprehensive validation of its current development plan and operating strategy to ensure safe operation; assessment of other feasible development scenarios to fully realise its potential and paving the path to digital oilfield. A proven integrated asset modeling approach has been adopted to bring a complex reservoir, multiple interdependent wells, pipelines networks, process models together into one single platform. The integrated modeling platform included both gas and water reinjection network models to provide a pore to process closed loop solution. Development of this integrated reservoir-wells-pipelines-network-process facility-water and gas reinjection network models focused to provide all the vital valuable inputs to better field management, fast and accurate decision-making, optimal safe operation in meeting the set seasonal sales contract. Assessments of production operation strategy and field development scenarios were conducted at full field level from reservoir to process plant, accounting wells, pipelines, process handling capacities, the complete system constraints and back pressure effects of all involved components. The availability of fully integrated asset model with pore to process solution enables engineers to better understand the current well performance and production potentials; to ensure a safe and optimal process plant operation. The model helped to identify bottlenecks imposed by the existing pipelines network and process facility; it also enabled the asset team to confirm the existing development plan was not optimal. Other feasible planning scenarios which could further enhance the overall asset productivity were identified, i.e. via determining location of infill wells and which unused idle producers to be converted to gas or water injectors. The study demonstrated a comprehensive validation of the existing development and operation strategy was achievable with the approach. The paper describes how the developed integrated asset model enables the asset team to validate the existing operating strategy and field development scenario of the studied onshore brownfield; to further enhance asset productivity and to achieve efficient field management by adjusting the operating condition in meeting the seasonal sales contract. The integrated asset model also helps to evaluate and to analyse forecasts of different development scenarios including infill drilling and adding new wells and other enhanced oil recovery (EOR) techniques to achieve an ultimate recovery and asset economics.


Author(s):  
Qing Chang ◽  
Chaoye Pan ◽  
Guoxian Xiao ◽  
Stephan Biller

In an automotive production system, material handling is a critical activity in terms of increasing system efficiency and reducing overall cost. The existing literatures often separate the production system and material handling system, and ignore the coupling relations between the two systems. In this paper, an integrated modeling approach is developed to mathematically describe a dynamic production system including production operation and material handling system. A modified max-plus algebra based model with “shifting” mechanism is developed to overcome the synchronization constraints of traditional max-plus linear properties, and adapt to the dynamic change of the system under various conditions, such as starvation caused by material handling. The case study demonstrates that the new modeling approach is effective and efficient (180 times faster comparing with simulation method) in real-time system analytics and control to improve productivity and reduce cost.


2021 ◽  
Author(s):  
Okon Edet Ita ◽  
Dulu Appah

Abstract The ability to identify underperforming wells and recover the remaining oil in place is a cornerstone for effective reservoir management and field development strategies. As advancement in computing programming capabilities continuous to grow, Python has become an attractive method to build complicated statistical models that predicts, diagnose or analyze well performance, efficiently and accurately. The aim of this study is to develop a computational model that will allows us to diagnose and analyze well performance using nodal analysis with the help of python. In this study, python was used to compute Nodal analysis method using Darcy and Vogel Equations. A case study was carried out using the data obtained from a field operating in the Niger Delta. Again, sensitivity of tubing size was conducted using python. The results obtained showed that a computational model with python has the ability to visualize, model and analyze wells performances. This technique will petroleum engineers to better monitor evaluate and enhance their production operation without the need for expensive softwares. This will reduce operating cost increases revenue.


2008 ◽  
Author(s):  
Dmitry A. Antonenko ◽  
Vladimir Pavlov ◽  
Vladimir Surtaev ◽  
K. K. Sevastyanova

2021 ◽  
Author(s):  
Khor Siew Hiang ◽  
Petrunyak Volodymyr ◽  
Yevgen A. Melnyk ◽  
Prykhodchenko Oleksii ◽  
Stefaniv Viktor ◽  
...  

Abstract The adoption of an integrated asset modeling approach was explored to kick-start the corporate digital transformation strategy for its oil and gas section. Besides the integrated asset model, the digital initiatives included predictive maintenance, well performance optimization, and a flow assurance advisor aimed at daily production operations and maintenance, creating a pathway to the digital oilfield (DOF). The integrated asset model would be the main pillar of DOF realization and implementation, its offered technology aimed at short-term, medium-term, and long-term planning. The adopted well-proven integrated asset modeling methodology enabled a geological complex with a high-fidelity physics reservoir model, multiple interdependent wells, pipeline networks, process facility models to be integrated seamlessly on a single platform for validation of its existing production operation strategy and field development plan. The black-oil reservoir model was history matched, and the production network models had detailed wellbore and pipeline hydraulics calibrated with the latest well-test data. The compositional fluid modeling allowed the capture of any flow assurance issues that arose across the networks, which were mapped to the corresponding process facility models with physical specifications and operational constraints defined. A fully integrated asset model was developed for the studied asset, where liquid/vapor tables were prepared for black-oil delumping (Ghorayeb and Holmes, 2005) of the reservoir models to surface network models (Mora et al. 2015), while fluid models of both production network and process models were validated before mapping to ensure fluid fidelity. The availability of this integrated asset model with an embedded spreadsheet program incorporating some simple economic calculations allowed the flexibility of short-term production optimization and long-term asset planning, which was focused to provide all the vital valuable inputs to better field management, fast and accurate decision making, and optimum safe operation of process units in meeting the sales contract. The integrated asset model offered a platform for engineers from different domains to collaborate with aligned common operational and planning objectives. It empowered assessments of production operation strategy and field development scenarios conducted at full field level from pore to process. The customized reporting, the ability to connect to other tools, and to push results to dashboards helped to kick-start the corporate digital transformation strategy.


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