Abstract
Reservoir characterization using all available data is a popular topic that involves people and expertise from many different disciplines. Even though reservoir characterization has been used for many years, practitioners, developers, and researchers continually envision and employ different approaches and methods to understand the subsurface complexity and to quantify the associated risk. The components used to characterize the subsurface and forecast reservoir performance include, but are not limited to, rock physics, seismic inversion, geologic and geostatistical modeling, and a renewed emphasis on artificial intelligence tools. In addition, many efforts integrate multiple data types with different scales and resolutions, including geophysical, geologic, and engineering data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
