Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Collaborative Work Environment (CWE) is an operation integration concept supported by real-time systems (tools and facility), defined business processes and the right set of domain experts. The objectives in Collaborative Work Environment implementation includes; providing an operating asset the benefits of real-time operation optimisation and reduction in personnel unsafe travel exposure alongside effective team collaboration resulting in faster decision making using the intelligent oilfield capabilities. This paper assesses, hypothetically, the Collaborative Work Environment implementation strategy for a marginal field operator in Gulf of Guinea. Collaborative Work Environment solutions are not really new to the oil and gas industry, as it has been widely implemented and embedded by major oil and gas companies in different regions around the world. However, what that is really novel are the challenges of implementation by marginal field operators. The challenges in implementing Collaborative Work Environment by marginal field operators includes; high-cost relative to the asset financial base and importantly the need for ‘visible’ benefit of intelligent oil field solutions linked to the business objective of the small operator. This paper aims to highlight an effective business strategy of implementing intelligent oil field by a marginal field operator by using procedure of comparing a case study during a well workover operation against standard implementation strategy by the major oil and gas companies. The benefits of the Collaborative Work Environment were clearly ‘visible’ leveraging on the real-time support from the office to the field using the Collaborative Work Environment technology, facility and processes. The immediate ‘visible’ benefit of Collaborative Work Environment strategy during the well intervention operation included; faster team decision-making and situational awareness collaboration with remote location using intelligent oil field capabilities. This experience provided a novel platform for developing an asset-specific intelligent oil field implementation and embedment strategy for the marginal field or small exploration and production operators in environment similar to the Gulf of Guinea. The recommendations from this paper will form a quick reference tool and assist in developing Collaborative Work Environment implementation and embedment strategy for small oil and gas field operators globally.
Collaborative Work Environment (CWE) is an operation integration concept supported by real-time systems (tools and facility), defined business processes and the right set of domain experts. The objectives in Collaborative Work Environment implementation includes; providing an operating asset the benefits of real-time operation optimisation and reduction in personnel unsafe travel exposure alongside effective team collaboration resulting in faster decision making using the intelligent oilfield capabilities. This paper assesses, hypothetically, the Collaborative Work Environment implementation strategy for a marginal field operator in Gulf of Guinea. Collaborative Work Environment solutions are not really new to the oil and gas industry, as it has been widely implemented and embedded by major oil and gas companies in different regions around the world. However, what that is really novel are the challenges of implementation by marginal field operators. The challenges in implementing Collaborative Work Environment by marginal field operators includes; high-cost relative to the asset financial base and importantly the need for ‘visible’ benefit of intelligent oil field solutions linked to the business objective of the small operator. This paper aims to highlight an effective business strategy of implementing intelligent oil field by a marginal field operator by using procedure of comparing a case study during a well workover operation against standard implementation strategy by the major oil and gas companies. The benefits of the Collaborative Work Environment were clearly ‘visible’ leveraging on the real-time support from the office to the field using the Collaborative Work Environment technology, facility and processes. The immediate ‘visible’ benefit of Collaborative Work Environment strategy during the well intervention operation included; faster team decision-making and situational awareness collaboration with remote location using intelligent oil field capabilities. This experience provided a novel platform for developing an asset-specific intelligent oil field implementation and embedment strategy for the marginal field or small exploration and production operators in environment similar to the Gulf of Guinea. The recommendations from this paper will form a quick reference tool and assist in developing Collaborative Work Environment implementation and embedment strategy for small oil and gas field operators globally.
Digital Oilfield (DOF) is an Intelligent Energy concept that assures continuous optimisation of an asset or group of assets through integration of standard tools, domain experts, defined business processes and appropriate facility or space. Digital oilfield solutions include real-time production optimization and extend to improvements in team integration and asset risk reduction. The objective of this paper is to highlight challenges of digital oil field implementation and provide appropriate mitigations. Following over two decades of implementation of digital oilfield by several operators globally, digital oilfield concept has undergone series of transformation in implementation strategy and sustainability drive. The fundamental principle and objectives of digital oilfield remains the same that is optimisation of an asset in the short term and to extend the life cycle value of an asset in the long term. However, the difference amonst the operators are the name each operator refers to this concept. Shared business perspective from experiences in several implementations will assist in driving the message of how to effectively manage digital oilfield programme. Documented evidences has demonstrated that short term solutions from digital oilfield implementations are delivered, but the challenges has been value erosion overtime due to lack of effort or commitment to ensure solid embedment of the process and sustainability of the solutions. The said outcome involves evaluation of the business impact of the DOF implementation in addressing challenges of digital oilfield implementation. The observed challenges includes but not limited to the following: Poor alignment of the project implementation objectives with the business need of the asset Lack of involvement of the asset at the inception of the project and ensure seamless ownership and sponsorship process. No clear succession plan for the process champions which equally hamper value sustenance Lack of defined training and retraining of personnel remains a big exposure in digital oilfield benefits realisation. To manage these gaps, a novel sustainability framework is proposed that is developed and built to ensure the digital field solution addresses the asset-specific business need with the right sustainability model. The result from this paper could be applied in similar project elsewhere.
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 © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.