Chapter 1 Intelligent Data Analysis Techniques—Machine Learning and Data Mining

Chapter 2 On Meta-heuristics in Optimization and Data Analysis. Application to Geosciences

Chapter 3 Genetic Programming Techniques with Applications in the Oil and Gas Industry

Chapter 4 Application of Artificial Neural Networks in Geoscience and Petroleum Industry

Chapter 5 On Support Vector Regression to Predict Poisson’s Ratio and Young’s Modulus of Reservoir Rock

Chapter 6 Use of Active Learning Method to Determine the Presence and Estimate the Magnitude of Abnormally Pressured Fluid Zones: A Case Study from the Anadarko Basin, Oklahoma

Chapter 7 Active Learning Method for Estimating Missing Logs in Hydrocarbon Reservoirs

Chapter 8 Improving the Accuracy of Active Learning Method via Noise Injection for Estimating Hydraulic Flow Units: An Example from a Heterogeneous Carbonate Reservoir

Chapter 10 Permeability Estimation in Petroleum Reservoir by Meta-heuristics: An Overview