Integration of geophysical, core and production data to evaluate gas reservoir performance: A study from Saldanadi field

• Published in: Journal of Earth System Science 2024-02, Vol.133 (1), p.41, Article 41
• Main Authors: Rahman, Md Aliur, Islam, Md Amirul, Kabir, Jahangir, Ahmed, A S Daiyan, Zico, M Nur Alam, Khan, Md Yamin
• Format: Article
• Language: English
• Subjects: Constraint modelling; Development potential; Development strategies; Drill string; Dynamic characteristics; Earth and Environmental Science; Earth Sciences; Geology; Heterogeneity; Hydrocarbons; Parameters; Performance evaluation; Permeability; Porosity; Reservoir performance; Reservoirs; Saturation; Seabirds; Seismic data; Seismological data; Simulation; Simulators; Software; Space Exploration and Astronautics; Space Sciences (including Extraterrestrial Physics; Static models; Stratigraphy; Three dimensional models
• ISSN: 0973-774X; 0253-4126; 0973-774X
• DOI: 10.1007/s12040-024-02258-7

The present study offers a comprehensive, integrated assessment for characterising the Saldanadi gas reservoir, understanding its dynamic behaviour, and assessing its future development potential through simulation. The objective of this study is to develop an integrated 3D reservoir model and validate the static model through dynamic simulation. The Saldanadi reservoir has presented unique challenges from the outset, given its heterogeneity in petrophysical parameter distributions, encompassing the porosity, permeability, net-to-gross ratio, fluid saturation, and gas sand thickness. As a result, the field must be reassessed, and a reliable reservoir model must be developed for production forecasting. Utilising seismic data, wireline logs, drill stem tests (DSTs), and core data, we leveraged Petrel software to distribute reservoir parameters throughout the field, culminating in a 3D reservoir static model that was subsequently validated using the Eclipse reservoir simulator, with historical production data serving as a benchmark. Our updated reservoir model estimated gas initially in place at 149.63 × 10 8 sm 3 , considering four potential gas sands. The historical production profile was reviewed to determine the reservoir's performance and dynamic characteristics, and forecasts were made accordingly. Our study suggests that the validated model will serve as the guiding constraint for future development strategies and the pursuit of an optimal recovery factor.