Petroleum Development Oman Forecasting Management System
Title
Petroleum Development Oman Forecasting Management System
Subject
Forecasting
Life cycle
Hydrocarbons
Gasoline
Decision making
Petroleum prospecting
Information management
Project management
Description
Production performance forecasting is considered as one of the most challenging and time consuming tasks in petroleum engineering disciplines, it has important implications on decision-making, planning production and processing of facilities. In Petroleum Development Oman (PDO), which is the major petroleum company in Oman, production forecast provides a technical input basis for the economic decisions throughout the exploration and production lifecycle. Reservoir engineers spend more than 250 days per year to complete this process. PDO Forecast Management System (FMS) was introduced to transform the conventional forecasting of gas production. Employing the latest state-of-the-art technologies in the field of data management and machine learning (ML), PDO FMS aims at optimizing and automating the process of capturing, reporting, and predicting hydrocarbon production. This new system covers the full forecast processes including long and short-term forecasting for gas, condensate, and water production. As a pilot project, PDO FMS was deployed on a cluster of 272 wells and relied on agile project management approach to realize the benefits during the development phase. Deployment of the new system resulted in a significant reduction of the forecasting time, optimization of manpower and forecasting accuracy. Copyright 2021, Society of Petroleum Engineers
Publisher
2021 Abu Dhabi International Petroleum Exhibition and Conference, ADIP 2021, November 15, 2021 - November 18, 2021
Date
2021
Contributor
Al Riyami, Hilal Mudhafar
Al Sheibani, Hilal Mohammed
Al Subhi, Hamed Ali
Al Ajmi, Hussain Taqi
Zohny, Zeinab Youssef
Al Kindy, Azzan Qais
Type
conferencePaper
Identifier
10.2118/208108-MS
Collection
Citation
“Petroleum Development Oman Forecasting Management System,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/23868.