Study of the history matching and performance prediction Analysis Utilizing Integrated Material Balance Modeling in One Iraqi Oil Filed

Forecasting the performance of a reservoir is a crucial component of the planning process for oil and gas field development, as well as for estimating reserves. Predicting how the reservoir will behave in the future is part of this process. The effectiveness of a reservoir's production depends on an accurate representation of its flow characteristics, fluid properties, rock properties, and rock-fluid properties. Petroleum-Engineers need to be well-versed in production operation optimization, and reservoir characteristics, Furthermore, it is crucial to acquire knowledge on the development of an analytical model that can effectively represent the underlying physical mechanisms taking place within a reservoir. The Material-Balance equation, which has been developed by a number of scientists including Muskat, Havlena and Odeh, Tarner, Craft and Hawkins, Tracy, and Schilthuis, is commonly utilized to estimate reservoir performance. After performing history matching for both models, this study will compare and evaluate reserve estimation utilizing dynamic simulation the (MBAL) program and the Material-Balance predictive technique. The outcomes outlined in our manuscript illustrate the effectiveness of (MBAL) in relation to history-matching and performance forecasting. The objective of this study to develop a foundational model for reservoir analysis. Diverse algorithms and models pertaining to each method presented and validated via case empirical studies. In order to identify differences between data and physical reality with aid of correlations, field data for production, PVT analysis, and well data were collected. Additionally, this study compares historical events to the original oil's location and aquifer size. Conclusions drawn from a large number of plots between different parameters show how closely the simulation and future predictions match the historical data and performance as well as the reservoir system's performance in the future.

Anahtar Kelimeler: Integrated Material Balance Modeling, One Iraqi Oil Filed, history matching, performance prediction

Forecasting the performance of a reservoir is a crucial component of the planning process for oil and gas field development, as well as for estimating reserves. Predicting how the reservoir will behave in the future is part of this process. The effectiveness of a reservoir's production depends on an accurate representation of its flow characteristics, fluid properties, rock properties, and rock-fluid properties. Petroleum-Engineers need to be well-versed in production operation optimization, and reservoir characteristics, Furthermore, it is crucial to acquire knowledge on the development of an analytical model that can effectively represent the underlying physical mechanisms taking place within a reservoir. The Material-Balance equation, which has been developed by a number of scientists including Muskat, Havlena and Odeh, Tarner, Craft and Hawkins, Tracy, and Schilthuis, is commonly utilized to estimate reservoir performance. After performing history matching for both models, this study will compare and evaluate reserve estimation utilizing dynamic simulation the (MBAL) program and the Material-Balance predictive technique. The outcomes outlined in our manuscript illustrate the effectiveness of (MBAL) in relation to history-matching and performance forecasting. The objective of this study to develop a foundational model for reservoir analysis. Diverse algorithms and models pertaining to each method presented and validated via case empirical studies. In order to identify differences between data and physical reality with aid of correlations, field data for production, PVT analysis, and well data were collected. Additionally, this study compares historical events to the original oil's location and aquifer size. Conclusions drawn from a large number of plots between different parameters show how closely the simulation and future predictions match the historical data and performance as well as the reservoir system's performance in the future.

Keywords: Integrated Material Balance Modeling, One Iraqi Oil Filed, history matching, performance prediction

Sayfa Aralığı: 47-62

Abed, A. A., Arslan, C. A. & Sulaiman, I. N. (2023). Study of the history matching and performance prediction Analysis Utilizing Integrated Material Balance Modeling in One Iraqi Oil Filed. Journal of Current Research on Engineering, Science and Technology, 9 (1), 47-62.