The Process to Provide Effective Decision-Support and Realise Value – Implementing a Global Well Integrity Management Software System

2018 ◽  
Author(s):  
C. J. B. Smith ◽  
A. Lorwongngam ◽  
A. R. Crabtree ◽  
L. Smith ◽  
G. Lunt
Keyword(s):  
Decision Support ◽  
Software System ◽  
Management Software ◽  
Well Integrity ◽  
Integrity Management ◽  
Effective Decision ◽  
Effective Decision Support

An Expert Software System has Accomplished Full Implementation of Well Integrity Management System WIMS Resulting to Excellent Safety and Production Sustainability for Critical Sour HPHT Field in Offshore Madura Strait, Indonesia

2021 ◽  
Author(s):  
Fianti Ramadhani ◽  
Syaiful Nurdin ◽  
Michael Olu Etuhoko ◽  
Yang Zhi ◽  
Sugeng Mulyono ◽  
...  
Keyword(s):  
Management System ◽  
Material Selection ◽  
International Standards ◽  
Software System ◽  
Well Performance ◽  
Integrity Test ◽  
Well Integrity ◽  
High Pressure High Temperature ◽  
Integrity Management ◽  
Productive Assets

Abstract Four high-pressure-high temperature (HPHT) and sour gas wells are currently operating at Madura offshore as the only productive assets for Husky-CNOOC Madura Limited (HCML). Each well performance is very crucial to fulfill the demand of the gas customers in East Java, Indonesia. Since starting production in 2017, the wells experienced two main well integrity challenges, high annulus pressure and wellhead growth. Both challenges are very dependent to the well flow rate and the flow duration. A continuous operation monitoring is highly required in order to keep the wells operating safely. To overcome the challenges, HCML established a Well Integrity Management System (WIMS) document that approached several international standards as its basis. As company grows, development plan challenged the WIMS to perform faster and more efficient as compared to the existing manual system. From there, the journey of WIMS digitalization began. The journey started with the alignment of the existing WIMS document to the ISO-16530-1 at Operational Phase with more stringent boundary to operate the wells safely. The alignment covers, but not limited to the organizational structure, well barriers and criteria, monitoring and surveillance, annulus pressure management, and maintenance. The document also covered risk assessment and management of well integrity failure, which was the backbone of the WIMS digitalization. The current digital solutions allow production data to be accessed and retrieved directly from the system for analysis purposes. It compares the recorded data with pre-determined rules and parameters set in the system. It triggers a notification to the responsible personnel to perform the required action should any anomaly occurs. It also can send a reminder to users to schedule and complete a well Integrity test to ensure that a well is always in compliance with the WIMS. All test reports and documentation are stored in the system as preparation for any future audit. A key requirement of the expert software system was access to future developments that can offer enhanced functionality of the well integrity platform through additional near time capabilities such as predictive erosion and corrosion for downhole flow wetted components. This is being developed to enhance workover scheduling for existing wells and material selection for new wells and is planned to update automatically critical well integrity criteria such as tubing burst, collapse and MAASP.

Effective Decision Support for Workforce Deployment Service Systems

2009 ◽  
Author(s):  
Kashyap Dixit ◽  
Munish Goyal ◽  
Pranav Gupta ◽  
Nanda Kambhatla ◽  
Rohit M. Lotlikar ◽  
...  
Keyword(s):  
Decision Support ◽  
Service Systems ◽  
Effective Decision ◽  
Effective Decision Support

A Comparison of Alternatives for Automated Decision Support in a Multi-Task Environment

1997 ◽  
Vol 41 (1) ◽  
pp. 190-194 ◽  
Author(s):  
Jean MacMillan ◽  
Stephen E. Deutsch ◽  
Michael J. Young
Keyword(s):  
Decision Support ◽  
Situation Awareness ◽  
Traffic Control ◽  
Work Environments ◽  
Task Environment ◽  
Control Environment ◽  
Task Management ◽  
The Status ◽  
Effective Decision ◽  
Effective Decision Support

Complex, multi-task work environments that require humans to “juggle” many simultaneous tasks are becoming more widespread. How can automated capabilities best support the operator in these environments? We grouped the cognitive workload associated with multi-task management into two broad areas: 1) creating, maintaining, and updating an awareness of the status of all of the active tasks, and 2) choosing actions from among these active tasks based on overall goals. We then developed automated decision support for each of these aspects of workload and assessed which type of support was more effective in improving performance. Our findings indicate that, in a simulated air traffic control environment, the effort associated with creating and maintaining situation awareness was overwhelmingly responsible for the operator's workload. The results suggest that effective decision support in this environment should focus on helping the operator maintain awareness of the changing status of the active tasks, not on setting priorities or choosing among alternative tasks.

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