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This open access book presents the evaluation of undiscovered oil and gas resources and reserves growth in 468 basins around the world, as well as the potential of unconventional recoverable resources of seven types, including shale oil, heavy oil, oil sands, oil shale, shale gas, coalbed methane, and tight gas. The evaluation methods used are innovative, incorporating both conventional and unconventional oil and gas resources evaluation methods that utilize plays as the fundamental evaluation unit based on various exploration maturity levels. The evaluation results obtained independent...

In both the database and machine learning communities, data quality has become a serious issue which cannot be ignored. In this context, we refer to data with quality problems as “dirty data.” Clearly, for a given data mining or machine learning task, dirty data in both training and test datasets can affect the accuracy of results. Accordingly, this book analyzes the impacts of dirty data and explores effective methods for dirty data processing.

Although existing data cleaning methods improve data quality dramatically, the cleaning costs are still high. If we knew how dirty...