A proven and effective integrated asset modelling (IAM) approach has been adopted to bring multiple interdependent wells, pipelines networks, and process facilities models together into one single truly integrated asset model for the Greater Burgan Oilfield in Kuwait. The integrated wells-network facility models via the IAM platform also includes a water processing facility model which consists of 2 effluent water disposal plants; a crude oil export pipeline network and a water reinjection network model. This paper describes how a representative integrated asset model was developed for the Greater Burgan Oilfield through a model centric approach executed within an Integrated Operational Excellence (IOX) Program towards a Digital Transformation initiative by Kuwait Oil Company (KOC) South and East Kuwait (S&EK) Group together with Schlumberger. It also describes how this tool enables the asset teams to evaluate different operating scenarios to further enhance well performance and the overall asset productivity via re-routing well flow path to an appropriate header, identifying well workover opportunities, re-evaluating artificial lift design, adding future wells (for field development) and comprehensive understanding of well integrity and flow assurance studies. The assessment was done not only at a gathering center (GC) level but also asset-wide level where the complete system constraints, interactions and back pressure effects between more than 2000 different wells were fully accounted. The simulated results such as pressure gradient, temperature gradient and erosional velocity ratio gradient across the production networks are presented on the GIS map for easy opportunity identification. The availability of this fully integrated asset model with up-to date calibrated wells and network models and process models enables KOC engineers to better understand current well performance and production potential, identify any possible bottlenecks imposed by the large complex surface network and process facilities of Greater Burgan Oilfield. The scope of IAM enablement for the Greater Burgan was to develop an integrated wells-network-facility-crude export-water processing facility-water reinjection network model consisting of all the 14 gathering centers existing in S&EK asset, providing all the essential valuable inputs to business processes for better asset management, faster and more accurate decision-making and breaking the barrier of hydrocarbon flow path from sand face till the export point. In the future, this truly integrated asset model can be coupled to the Greater Burgan reservoir model for comprehensive field development studies.
Several efforts have been made in the past for generating an Integrated Asset Model (IAM) for the Greater Burgan field in Kuwait with mixed results on sustained utilization and benefits. A new effective full field Integrated Asset Model has now been developed within an Integrated Operational Excellence (IOX) program towards Digital Transformation of the Greater Burgan field. A proven model centric approach has been adopted to bring multiple interdependent wells, pipelines networks, and process facilities models together into one single truly integrated asset model. The IAM platform also includes a water processing facility model which consists of 2 effluent water disposal plants, a crude oil export pipeline network and a water injection network model. Development of this integrated wells-network-facility-crude export-water processing facility-water injection network model incorporating the 14 gathering centers in the South and East Kuwait (SEK) asset focused on providing all the essential valuable inputs to business processes for better asset management, faster and more accurate decision-making and optimizing the hydrocarbon flow path all the way from the reservoir till the export point. The assessment was done at full field level where the complete system constraints, interactions and back pressure effects between more than 2000 different wells were fully accounted up to the crude processing facilities. The availability of this fully integrated asset model with up-todate calibrated wells and network models and process models enables Kuwait Oil Company (KOC) engineers to better understand current well performance and production potential, identify any possible bottlenecks imposed by the large complex surface network and process facilities of Greater Burgan Oilfield. The simulated results such as pressure gradient, temperature gradient and erosional velocity ratio gradient across the production networks are presented on the GIS map for easy opportunity identification. The paper describes how the Integrated Asset Modeler tool enables the asset teams to evaluate different operating scenarios to further enhance well performance and the overall asset productivity via re-routing well flow path to an appropriate header, identifying well workover opportunities, re-evaluating artificial lift design, adding new wells for field development and comprehensive understanding of well integrity and flow assurance studies. The integrated asset model can be coupled to the Greater Burgan reservoir model for comprehensive field development studies in future.
This paper discusses the development of a truly integrated asset model for the Greater Burgan oilfield in Kuwait linking multiple wells, pipelines networks, and process facilities for achieving integrated operational excellence in the South and East Kuwait asset of Kuwait Oil Company. A water handling facility model comprising of two effluent water disposal plants, a crude oil export pipeline network and a water injection network model are also incorporated into this integrated asset model. The main objective behind the development of this integrated asset model is to enable better asset management, faster and more precise decision making and enhancing the hydrocarbon flow path all the way from the reservoir till the export point. The new integrated asset model was developed from a model centric approach involving construction and calibration of over 1500 well models. All wells were then linked to their network models comprising of pipelines totaling more than 10,000 km. The well and network models were integrated with the respective process facility models of the 14 gathering centers located in the field and finally tied to the crude export, water disposal and water injection systems. The results of the integrated wells to process facility models such as pressure gradient, temperature gradient and erosional velocity ratio gradient across the production network can be plotted or visualized on the Geographic Information System (GIS) map. Integration of the vast number of wells and network models with the 14 crude processing facilities in a single IAM platform provides comprehensive understanding of flowing paths spread across the giant Burgan field and proves its utility as an effective flow assurance tool. The IAM platform also provides engineers and management an effective tool for analyzing well potential, identifying under-performing wells, spotting clusters of high water cut wells, singling out back pressure effected wells and locating system constraints. Thereby the proven IAM provides valuable information for effective production optimization and long-term surface facility development plans. The IAM platform is designed for use by Reservoir, Production, and Process Engineers as well as Operations, Business Development, and Asset Management teams. Engineers can evaluate various scenarios to improve production and operation performance such as choke increase or decrease, re-routing wells between manifolds, adding new wells into the system, and decision on slots for connecting new wells to the plant headers. The IAM also enables asset teams to forecast injection rates, review the impact on the entire injection network in terms of pressure distribution, and conduct "what if" scenarios leading towards complete asset optimization.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.