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OD Matrix Estimation Based on Mobile Navigation Technology
In traditional OD survey, too many manpower and material resources are consumed, but the life cycle of the data is shortening and survey cost is...
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An Improved Multi-Kernel Estimation Method for Vehicle Localization
Vehicle localization is one of the key functions in Intelligent Vehicles (IVs). Localization result is usually provided by the combination of GPS...
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Detection and Tracking of Vehicles Based on Video and 2D Radar Information
For practical application, over-speed behavior of a vehicle is generally detected by the combination of the radar speedometer and the camera capture....
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Traffic Optimization Design and Simulation Evaluation of Isolated Intersection
Scientific optimization design of isolated intersection, which as the key point of city arterial road, is of great significance to improve traffic...
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Active Learning Method for Estimating Missing Logs in Hydrocarbon Reservoirs
Characterization and estimation of physical properties are two of the most important key activities for successful exploration and exploitation in...
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Intelligent Data Analysis Techniques—Machine Learning and Data Mining
This introductory chapter presents some of the main paradigms of intelligent data analysis provided by machine learning and data mining. After...
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Permeability Estimation in Petroleum Reservoir by Meta-heuristics: An Overview
Proper permeability distribution in reservoir models is very important in the determination of oil and gas reservoir quality. In fact, it is not...
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Artificial Intelligent Approaches in Petroleum Geosciences
This book presents several intelligent approaches for tackling and solving challenging practical problems facing those in the petroleum geosciences...
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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
We discuss active learning method (ALM) as an artificial intelligent approach for predicting a missing log (DT or sonic log) when only two other logs...
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Application of Artificial Neural Networks in Geoscience and Petroleum Industry
It has been shown that artificial neural networks (ANNs), as a method of artificial intelligence, have the potential to increase the ability of...
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Well Log Analysis by Global Optimization-based Interval Inversion Method
Artificial intelligence methods play an important role in solving an optimization problem in well log analysis. Global optimization procedures such...
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Genetic Programming Techniques with Applications in the Oil and Gas Industry
The chapter, entitled “Genetic Programming Techniques with Applications in the Oil and Gas Industry”, consists of four parts. The first part presents...
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On Meta-heuristics in Optimization and Data Analysis. Application to Geosciences
This chapter presents popular meta-heuristics inspired from nature focusing on evolutionary computation (EC). The first section, as an elevator...
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On Support Vector Regression to Predict Poisson’s Ratio and Young’s Modulus of Reservoir Rock
Accurate prediction of rock elastic properties is essential for wellbore stability analysis, hydraulic fracturing design, sand production prediction...
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Improving the Accuracy of Active Learning Method via Noise Injection for Estimating Hydraulic Flow Units: An Example from a Heterogeneous Carbonate Reservoir
Due to many reasons, in many occasions, reservoir engineers should analyze the reservoirs with small sets of measurements; this problem is known as...
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Intelligent Power System Frequency Regulations Concerning the Integration of Wind Power Units
As the use of wind power turbines increases worldwide, there is a rising interest on their impacts on power system operation and control. Frequency...
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Wind Turbine Diagnostics Based on Power Curve Using Particle Swarm Optimization
In wind energy industry, power curve, the plot of the generated power versus the ambient wind speed, is an important indicator of the performance and...
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Capacity Benefit Margin Evaluation in Multi-area Power Systems Including Wind Power Generation Using Particle Swarm Optimization
Available transfer capability (ATC) is an index showing the measure of transfer capability remaining in the physical transmission network over and...
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Application of TS-Fuzzy Controller for Active Power and DC Capacitor Voltage Control in DFIG-Based Wind Energy Conversion Systems
This chapter focuses on the implementation of the TS (Tagaki-Sugino) fuzzy controller for the Doubly Fed Induction Generator (DFIG) based wind...
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Optimal Controller Design of a Wind Turbine with Doubly Fed Induction Generator for Small Signal Stability Enhancement
Multi-objective optimal controller design of a doubly fed induction generator (DFIG) wind turbine system using Differential Evolution (DE) is...