TY - JOUR
T1 - Automating the oilfield asset-artificial-intelligence-based integrated-production-management architecture
AU - Bravo, César
AU - Saputelli, Luigi
AU - Castro, José Aguilar
AU - Ríos, Addison
AU - Rivas, Francklin
AU - Aguilar-Martin, Joseph
PY - 2011/10
Y1 - 2011/10
N2 - Integrated asset management is highly complex and requires the combined effort of several disciplines and technological tools. Orchestration of disciplines, workflow tools, and available data are important issues. Resource negotiation, communication language, and decision-making protocols are minor issues that exacerbate the problem, resulting in poor and delayed decision making. This study approached these challenges through implementation of distributed-artificial-intelligencebased architecture designed for automated production management.
AB - Integrated asset management is highly complex and requires the combined effort of several disciplines and technological tools. Orchestration of disciplines, workflow tools, and available data are important issues. Resource negotiation, communication language, and decision-making protocols are minor issues that exacerbate the problem, resulting in poor and delayed decision making. This study approached these challenges through implementation of distributed-artificial-intelligencebased architecture designed for automated production management.
UR - https://www.scopus.com/pages/publications/80053546567
U2 - 10.2118/1011-0091-jpt
DO - 10.2118/1011-0091-jpt
M3 - Article
AN - SCOPUS:80053546567
SN - 0149-2136
VL - 63
SP - 91
EP - 93
JO - Journal of Petroleum Technology
JF - Journal of Petroleum Technology
IS - 10
ER -