FOROIL's Brownfield Massive Optimization using Digital Behavior Twins unveils hidden value contained in past data
In this session, FOROIL discusses their novel approach, which leverages the long production histories of brownfields as inputs into their proprietary analytics models to identify the fundamentals governing fluid transport in a system. The AI-backed model can then evaluate millions of potential development scenarios in a matter of days to identify the best development options.
FOROIL has a proven record of dozens of successful projects
Applying Machine Learning, Reservoir Physics, and Advanced Mathematics to the Optimization of Brownfields. Listen to Deloitte and FOROIL for an in depth discussion on the benefits of extending your digital strategy to the subsurface. Learn how other companies have created immediate and substantial impact without adding cultural, organizational and technical implementation complexities inherent in surface digital solutions.
Machine Learning: FOROIL Sees Opportunities in Brownfield Development
Hugues de Saint Germain, FOROIL’s founder and chairman, explains how his company is redefining how oil companies can get more production from their brownfield assets—with little to no capex—in this conversation with Scott Sanderson, principal, Deloitte Consulting LLP.
FOROIL's Chairman interview on the WSJ
Deloitte and FOROIL Deploy Digital Oil Recovery™ to Increase Recovery from Brown Fields
Deloitte's Digital Oil Recovery™, powered by FOROIL, helps upstream clients dramatically increase production and reserves from brown fields, using historic production data, breakthrough mathematical modeling and High Performance Computing (HPC).
Digital Oil Recovery
Digital Technologies For Reservoir Optimisation
Learning From Past Data Tells how to Increase Production and Reserves: A Successful Four Year Return of Experience
FOROIL has presented "Learning From Past Data Tells how to Increase Production and Reserves: A Successful Four Year Return of Experience" at the ADIPEC 2013 Conference, Abu Dhabi, UAE.
http://www.adipec.com/.
Smart Learning from Past Data Yields 50% Incremental Oil Production
FOROIL has presented "Smart Learning from Past Data Yields 50% Incremental Oil Production" at the 75th EAGE - EUROPEC 2013 Conference & Exhibition, London, UK.
The full technical paper is available from the OnePetro website.
A Specific Way of Assessing Target Recovery Factor (Chalk Oil Fields)
MAERSK OIL and FOROIL have presented "A Specific Way of Assessing Target Recovery Factor (Chalk Oil Fields)" at the 6th IPTC International Petroleum Technical Conference.
Beijing.
The full technical paper is available from the OnePetro website.
Data In, Oil Out: Success Stories
FOROIL has presented "Data In, Oil Out: Success Stories" at the Mature Fields conference in Houston, Texas.
Massive Optimization Technique Improves Production of Mature Fields
HOCOL S.A. and FOROIL have presented “Massive Optimization Technique Improves Production of Mature Fields: San Francisco, Colombia” at the SPE Latin American and Caribbean Petroleum Engineering Conference, Lima, Peru. The full technical paper is available from the OnePetro website.
