Artificial neural network for permeability damage prediction due to sulfate scaling

Journal of Petroleum Science and Engineering

Volumn 78, Issue 3-4, 2011, Pages 575-581

  Zabihi, Reza ^a   Schaffie, Mahin ^a   Nezamabadi pour, Hossein ^a   Ranjbar, Mohammad ^a  

^a SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

Author keywords

Artificial neural network; Barium sulfate scaling; Permeability damage; Waterflooding

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BARIUM SULFATE; BARIUM SULFATE SCALING; BEREA SANDSTONE; COMMON PROBLEMS; EXPERIMENTAL DATA; FORMATION PERMEABILITY; FORMATION WATER; HIDDEN LAYERS; INORGANIC SCALE; MALAYSIANS; MATLAB- SOFTWARE; OIL RECOVERIES; PERMEABILITY DAMAGE; PERMEABILITY REDUCTION; RESERVOIR PRESSURES; TRAINING FUNCTION;

BARIUM; PETROLEUM INDUSTRY; PETROLEUM RESERVOIR ENGINEERING; SEAWATER; WATER INJECTION; WELL FLOODING;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; ENHANCED OIL RECOVERY; ERROR ANALYSIS; EXPERIMENTAL STUDY; FLUID INJECTION; NUMERICAL MODEL; PERMEABILITY; RESERVOIR FLOODING; SOFTWARE; SULFATE; WATER;

EID: 80053537896     PISSN: 09204105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.petrol.2011.08.007     Document Type: Article

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