Oil and Gas Reserves Evaluation
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This workshop provides practical knowledge of reserves evaluation, covering methods used to estimate, classify, and report oil and gas reserves. Participants will learn industry-standard practices for reliable assessments that support asset valuation, field development, and investment decisions.
Workshop Objectives
Understand the principles and classifications of oil and gas reserves.
Learn key methodologies for reserves estimation and reporting.
Apply evaluation techniques to support field development planning.
Strengthen decision-making through accurate reserves assessment.
About the Presenter
The presenter is an industry professional in reserves evaluation, reservoir engineering, and resource management. Combining technical with practical industry knowledge, the presenter equips participants with tools to enhance the accuracy and reliability of reserves assessments.
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Modern Reservoir Characterization : Integrating Artificial Intelligence (AI) with Traditional Methods
During this workshop, participants will develop a more comprehensive grasp of the geophysical theory of seismic inversion and explore advanced seismic reservoir characterization techniques. Discover the essential steps in the seismic reservoir characterization workflow using machine learning, covering data processing to inversion analysis. Acquire valuable knowledge applicable to your everyday projects.In classical reservoir characterization, it is commonly assumed that the reservoir exhibits both elastic and hydraulic isotropy. However, real reservoirs often exhibit anisotropic characteristics and spatial heterogeneity on multiple scales. Relying solely on core and log data may not accurately represent the larger reservoir volume. Therefore, the most effective way to accurately analyze the physical properties of most actual reservoirs, across their entire volume, involves utilizing advanced machine learning methods for acquired and interpreted seismic data.