Assisted History Matching for Unconventional Reservoirs
Assisted History Matching for Unconventional Reservoirs
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Reservoir engineers are challenged with characterizing hydraulic fracture and reservoir properties, which are expensive and difficult to obtain. Assisted History Matching for Unconventional Reservoirs provides a critical tool for this task, offering a workflow that quantifies uncertainty without bias or being trapped in local minima. It also includes field case studies and visuals on the advantages and disadvantages of alternative models, and additional references for deeper learning.
Format: Paperback / softback
Length: 288 pages
Publication date: 12 August 2021
Publisher: Elsevier Science & Technology
As the demand for unconventional reservoir activity continues to surge, reservoir engineers face a significant challenge in accurately characterizing hydraulic fracture and reservoir properties, which are both costly and challenging to obtain. In response to this challenge, Assisted History Matching for Unconventional Reservoirs emerges as a crucial tool for modern engineers. This reference provides a comprehensive workflow for Assisted History Matching (AHM), offering numerous benefits. One of the key advantages of AHM is its ability to quantify uncertainty without bias or being confined to local minima. This feature empowers engineers to integrate an efficient and non-intrusive model for fractures that can be seamlessly integrated with any commercial simulator. Furthermore, the AHM workflow encompasses a range of field case studies, including the Marcellus shale play, which provides valuable insights into the advantages and disadvantages of alternative models. To enhance the learning experience, this reference also includes additional references for those seeking a deeper understanding of the subject matter. By providing a holistic view of how to model todays fractures and unconventional reservoirs, Assisted History Matching for Unconventional Reservoirs equips reservoir engineers with the necessary skills and knowledge to navigate the complexities of this evolving field.
Weight: 480g
Dimension: 229 x 152 (mm)
ISBN-13: 9780128222423
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