TY  - CONF
AV  - none
KW  - Cost effectiveness; Forecasting; Identification (control systems); Model structures; Petroleum reservoir engineering; Petroleum reservoirs; Process engineering; Religious buildings; Secondary recovery
KW  -  Appropriate models; Conceptual frameworks; Forecasting modeling; Polynomial models; Production forecasting; Recovery mechanisms; Reservoir description; Reservoir modeling
KW  -  Reservoir management
ID  - scholars7404
TI  - Conceptual Framework for Using System Identification in Reservoir Production Forecasting
SP  - 878
N2  - Defining a reliable forecasting model in petroleum reservoir management has always been a challenge. In cases where reservoir description is limited and when fast decision with an acceptable accuracy is required, current methods have significant limitations and restrictions. System identification, which is based on historical data and statistical methods could be promising. However, the complexity of a petroleum reservoir system and the availability of numerous model structures in system identification make it challenging to adapt this method effectively. In this paper, a conceptual framework for using system identification is proposed. Based on a reservoir's recovery mechanism, the conceptual framework will help to systematically select an appropriate model structure from the various model structures available in system identification. The results show that system identification polynomial models can provide very accurate models, in a very short time, to predict performance of reservoirs under primary and secondary recovery mechanisms. These models have also the potential to be established as a practical, cost-effective and robust tool for forecasting reservoir fluid production. © 2016 The Authors.
N1  - cited By 2; Conference of 4th International Conference on Process Engineering and Advanced Materials, ICPEAM 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:131138
SN  - 18777058
PB  - Elsevier Ltd
Y1  - 2016///
VL  - 148
EP  - 886
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014024479&doi=10.1016%2fj.proeng.2016.06.479&partnerID=40&md5=86177535602210d5ec3e91cf4299eeef
A1  - Negash, B.M.
A1  - Tufa, L.D.
A1  - Marappagounder, R.
A1  - Awang, M.B.
ER  -