ANN based Interwell Connectivity Analysis in Cyber-Physical Petroleum Systems

• In cyber-physical petroleum systems (CPPS), accurate estimation of interwell connectivity is an important process to know reservoir properties comprehensively, determine water injection rate scientifically, and enhance oil recovery effectively for oil and gas (O&G) field. In this study, an artificial neural network (ANN) based analysis method is proposed to estimate interwell connectivity. The generated neural network is used to define the mapping function between production wells and surrounding injection wells based on the historical water injection and liquid production data. Finally, the proposed method is applied to a synthetic reservoir model. Experimental results show that ANN based approach is an efficient method for analyzing interwell connectivity.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

waterflooded reservoir

interwell connectivity

artificial neural network (ANN)

long short-term memory (LSTM)

cyber-physical petroleum systems(CPPS)

Dependable Communication and Computation Systems

Kommunikations- och beräkningssystem

Publikations- och innehållstyp

vet (ämneskategori)

kon (ämneskategori)