Heterogeneous oil reservoirs characterization using artificial intelligence techniques: Application to the Hassi Messaoud oil field in the Algerian-Saharan platform

Domaine:

environment and energy

Type de record:

paper

Créateur:

AsmMoh

Éditeur:

Elsevier BV

Hôte:

Visit

Languages

Arabic, Algerian Spoken

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-license https://doi.org/10.15223/policy-017 https://doi.org/10.15223/policy-037 https://doi.org/10.15223/policy-012 https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-004

Similaires

Prediction of natural fracture porosity from well log data by means of fuzzy ranking and an artificial neural network in Hassi Messaoud oil field, AlgeriaPerformance Evaluation Of Non-Conventional Wells In Hassi-Messaoud Field, AlgeriaFlood risk mapping using artificial intelligence “application to the east Algerian region”Pore Pressure Prediction using the Artificial Intelligence techniques; a case study of Rudeis Formation at Al-Amal Oil Field, Gulf of Suez, EgyptEvaluation of Reservoir Inter-Well Connectivity Using Machine Learning Techniques: A Case Study of the Algerian Mesdar Oil FieldNew Reservoir Description Technics Improve Simulation Results In Hassi-Messaoud Field - Algeria

Prediction of natural fracture porosity from well log data by means of fuzzy ranking and an artificial neural network in Hassi Messaoud oil field, Algeria

International audience The fracture porosity is estimated especially through the log

Performance Evaluation Of Non-Conventional Wells In Hassi-Messaoud Field, Algeria

Abstract Recent developments in drilling field technology allow drilling advanced w

Flood risk mapping using artificial intelligence “application to the east Algerian region”

The increased needs of the actors in land management mean that static maps no longer meet the requir

Pore Pressure Prediction using the Artificial Intelligence techniques; a case study of Rudeis Formation at Al-Amal Oil Field, Gulf of Suez, Egypt

Pore pressure evaluation and prediction is one of the most important tools in the oil and gas indust

Evaluation of Reservoir Inter-Well Connectivity Using Machine Learning Techniques: A Case Study of the Algerian Mesdar Oil Field

Artificial intelligence (AI) has become an increasingly important tool across multiple industries, w

New Reservoir Description Technics Improve Simulation Results In Hassi-Messaoud Field - Algeria

Abstract This paper presents a part of a reservoir engineering study initiated i