Development of artificial neural network models for predicting water saturation and fluid distribution

Journal of Petroleum Science and Engineering

Volumn 68, Issue 3-4, 2009, Pages 197-208

  Al Bulushi, Nabil ^a,b   King, Peter R ^a   Blunt, Martin J ^a   Kraaijveld, Martin ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b PETROLEUM DEVELOPMENT OMAN   (Oman)

Author keywords

artificial neural networks; saturation height function; water saturation; wireline well logs

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; ARTIFICIAL NEURAL NETWORKS; CATION EXCHANGE CAPACITIES; CONVENTIONAL METHODS; CORRELATION FACTORS; FLUID DISTRIBUTION; FREE WATER LEVEL; FUNCTIONAL LINKS; HEIGHT FUNCTIONS; HYDROCARBON SATURATION; LAYERED NEURAL NETWORK; LOG DATA; MULTIPLE LINEAR REGRESSIONS; NEURAL NETWORK MODEL; PORE VOLUME; ROOT MEAN SQUARE ERRORS; SANDSTONE RESERVOIRS; SATURATION-HEIGHT FUNCTION; TEST DATA; WATER SATURATION; WATER SATURATIONS; WIRELINE WELL LOGS;

BACKPROPAGATION; CAPILLARITY; GAMMA RAYS; HYDROCARBONS; LITHOLOGY; NEURAL NETWORKS; SANDSTONE; STATISTICAL TESTS; WATER LEVELS;

WATER WELL LOGGING;

ARTIFICIAL NEURAL NETWORK; CATION EXCHANGE CAPACITY; CORRELATION; ERROR ANALYSIS; FLUID INJECTION; HEIGHT; HYDROCARBON RESERVOIR; LITHOLOGY; MULTIPLE REGRESSION; NUMERICAL MODEL; PERMEABILITY; PREDICTION; SATURATION; WATER LEVEL; WELL LOGGING;

EID: 69249222557     PISSN: 09204105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.petrol.2009.06.017     Document Type: Article

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