Prediction of Compressional, Shear, and Stoneley Wave Velocities from Conventional Well Log Data Using a Committee Machine with Intelligent Systems

Author:

Asoodeh Mojtaba,Bagheripour Parisa

Publisher

Springer Science and Business Media LLC

Subject

Geology,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Reference67 articles.

1. Ameen MS, Smart BGD, Somerville JMC, Hammilton S, Naji NA (2009) Predicting rock mechanical properties of carbonates from Wireline Logs (A case study: Arab-D reservoir, Ghawar field, Saudi Arabia). J Mar Petrol Geol 26:430–444

2. Baird L, Moore A (1999) Gradient descent for general reinforcement learning. Adv Neural Inf Process Syst 11:968–974

3. Bakhorji A, Schmitt D (2008) Velocity of P- and S-waves in Arab-D and WCSB (Western Canada Sedimentary Basin, Canada) Carbonates. In: Proceedings 2008 Canadian Society of Petroleum Geology (CSPG), Canadian Society of Exploration Geophysicists (CSEG) and Canadian Well Logging Society (CWLS) Convention, Calgary, Canada, pp 368–372

4. Balossino P, Pampuri F, Bruni C, Ebzhasarova K (2008) An integrated approach to obtain reliable permeability profiles from logs in a carbonate reservoir. SPE Russian Oil and Gas Conference (Moscow, 3–6 Oct.), SPE 102289

5. Battiti R (1992) First and second order methods for learning: between steepest descent and Newton’s method. Neural Comput 4(2):141–166

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