This open access book contains a set of chapters covering all aspects of geosciences related to Kuwait and adjacent regions, including Iran, Saudi Arabia and the Arab Gulf states. It covers basic information about the geology including a wide range of geoscientific disciplines such as marine geology, structural geology, hydrogeology and geophysics related to the region. This book is aimed at researchers and students, as well as professionals in the field of hazard mitigation and petroleum exploration.
This memoir provides a thorough review of the geology of the rimmed Arabian Intrashelf Basin, reconciling differing interpretations of lithostratigraphy, sequence stratigraphy and biostratigraphy. Variation of energy levels and facies due to its setting in the SE palaeotradewind belt are described. The roles subtle tectonism played in developing the basin and in the Late Jurassic creating restriction by uplift and exposure of the Tethys shelf are evaluated. The intrashelf basin formed during rising sea level as a single rimmed carbonate intrashelf basin. A possible global cooling phase resulted in a lowstand which restricted the basin, resulting in petrographically unique carbonate source rock facies dominated by cyanobacterial deposition. Two subsequent 3rd order carbonate sequences largely filled the basin. Eustatic change concomitant with uplift of the Tethys shelf resulted in alternation of carbonates and evaporites (gypsum-anhydrite) across the region. The end result was a sealed intrashelf basin which preserved early-formed porosity and confined generated hydrocarbons within the intrashelf basin facies.
This book is the result of the work of the first international congress of the ArabGU (Arabian Geosciences Union) which took place in Algiers (Algeria) in February 2016. It presents research articles and review papers on geology of the North Africa and Arabian Middle East . It provides information to the public on various fields of earth sciences and encourages further research in this field in order to attract an international audience.
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. - Learn from 13 practical case studies using field, laboratory, and simulation data - Become knowledgeable with data science and analytics terminology relevant to subsurface characterization - Learn frameworks, concepts, and methods important for the engineer's and geoscientist's toolbox needed to support
Quaternary of the Levant presents up-to-date research achievements from a region that displays unique interactions between the climate, the environment and human evolution. Focusing on southeast Turkey, Lebanon, Syria, Jordan and Israel, it brings together over eighty contributions from leading researchers to review 2.5 million years of environmental change and human cultural evolution. Information from prehistoric sites and palaeoanthropological studies contributing to our understanding of 'out of Africa' migrations, Neanderthals, cultures of modern humans, and the origins of agriculture are assessed within the context of glacial-interglacial cycles, marine isotope cycles, plate tectonics, geochronology, geomorphology, palaeoecology and genetics. Complemented by overview summaries that draw together the findings of each chapter, the resulting coverage is wide-ranging and cohesive. The cross-disciplinary nature of the volume makes it an invaluable resource for academics and advanced students of Quaternary science and human prehistory, as well as being an important reference for archaeologists working in the region.