C&C Reservoirs provide Analogue Intelligence for upstream subsurface applications. Their product, the Digital Analogue Knowledge System (DAKS™), is a secure, cloud-based knowledge system designed to improve decision quality and drive value across all phases of the E&P lifecycle.
DAKS™ leverages a user’s expertise on their own E&P assets with knowledge derived from global analogues. This knowledge can be described as ‘collective human intelligence’ and represents systematic documentation of the world’s most important oil and gas fields and reservoirs, allowing analysis of best practices and lessons learned from global E&P activities of the past century.
DAKS™delivers solutions to challenging issues across the E&P lifecycle through the combination of four elements:
- In-depth analysis and systematic documentation of the world’s most important fields and reservoirs
- Holistic classification scheme representing more than 25 years of detailed, scientific research
- Consistent knowledge base of more than 450 geological, reservoir engineering and production performance attributes founded on this classification scheme
- Secure cloud-based software platform that contains a robust search engine, the capability to capture knowledge on users’ own E&P assets and powerful set of characterisation, benchmarking, production performance and portfolio ranking tools
Key Features
C&C Reservoirs provides analogue intelligence for better decision-making through its Field Evaluation Reports (FER), Enhanced Oil Recovery (EOR) reports, powerful analytical tools, holistic classification scheme and reservoir knowledge base.
Field Evaluation Reports (FER) & EOR Reports
FER and EOR Reports provide an in-depth analysis and systematic documentation of the world’s most important fields and reservoirs.
Global Knowledge Base & Classification
A comprehensive data model with over 450 geological and reservoir engineering attributes, exhaustively researched and established at both reservoir and field level.
DAKS™ Tools
The cloud-based knowledge platform contains a robust search engine, and a powerful set of characterisation, benchmarking, production performance and portfolio ranking tools.
Website l Linkedin 'People'