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چکیده
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Water Resources Management in arid and semi-arid climates is crucial, as natural conditions and human activities have contributed to primary and secondary salinization. While poor management of irrigation practices with saline water, lack of suitable drainage infrastructure, large volumes of high salinity water co-produced with oil and discharge of drainage water to river systems are common human-induced salinization practices in the past three decades. Production data-driven diagnostics for decision making on water shut can be used for water shut off candidates to prevent oilfield water excess production. Artificial Intelligence (AI) and Machine Learning (ML) can be used in the management of water resources in arid and semi-arid climates in several ways. In other words, Artificial intelligence and ML assisted decision-making process. For example, the possibility of using image processing and AI to assist oilfield geologists in inspecting CBL VDL logs. Image processing techniques can be used to enhance the visibility of features in the logs, and AI algorithms can be trained to identify and classify different types of features in the logs, such as rock types, fractures, and bed boundaries. This can help geologists to more quickly and accurately interpret the logs, which can aid in the exploration and production of oil and gas resources.
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