This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the field of renewable energy and optimization techniques.

This book explains the dynamics of natural systems – the geosphere, hydrosphere and atmosphere – and their interactions, along with the human contribution to naturally occurring processes, which is one of the most urgent and practically important scientific problems of our age. The widespread use of sophisticated, tremendously powerful supercomputers now allows us to model complex phenomena that were previously inaccessible for analysis. Further, the introduction and advancement of a new generation of geophysical instruments – remote observing systems installed on ships, aircraft and satellites – make it possible to gather huge amounts of objective, representative data. The articles presented here offer valuable insights into the laboratory modelling of geo-environments and testing of newly developed physical and mathematical models.

Geothermal energy is the thermal energy generated and stored in the Earth's core, mantle, and crust. Geothermal technologies are used to generate electricity and to heat and cool buildings. To develop accurate models for heat and mass transfer applications involving fluid flow in geothermal applications or reservoir engineering and petroleum industries, a basic knowledge of the rheological and transport properties of the materials involved (drilling fluid, rock properties, etc.)—especially in high-temperature and high-pressure environments—are needed. This Special Issue considers all aspects of fluid flow and heat transfer in geothermal applications, including the ground heat exchanger, conduction and convection in porous media. The emphasis here is on mathematical and computational aspects of fluid flow in conventional and unconventional reservoirs, geothermal engineering, fluid flow, and heat transfer in drilling engineering and enhanced oil recovery (hydraulic fracturing, CO2 injection, etc.) applications.

Introduction to Mineralogy -- Introduction to Petroleum Geology -- Porosity and Permeability -- Formation Resistivity and Water Saturation -- Capillary Pressure -- Wettability -- Applications of Darcy's Law -- Naturally Fractured Reservoirs -- Effect of Stress on Reservoir Rock Properties -- Fluid-Rock Interactions -- Modeling and Simulations -- Appendix.