Artificial Intelligent Models for Detection and Prediction of Lost Circulation Events: A Review

نویسندگان

چکیده

Lost circulation or losses in drilling fluid is one of the most important problems oil and gas industry, it appeared at beginning this which caused many during process, may lead to closing well stopping process. The muds are relatively expensive, especially that contain oil-based mud special additives, so not economically beneficial waste lose these muds. treatment also somewhat expensive as a result wasted time caused, high cost materials used such heavy materials, cement, others. best way deal with prevent them. Drilling loss complex problem difficult predict using simple traditional methods. Artificial intelligence represents modern accurate technology for solving loss. through supervised machine learning provides possibility predicting before they occur based on field data properties, parameters, rock geomechanical parameters related wells suffered from located same area. In paper, several models have been reviewed were detecting fluids paper an inclusive review prediction detection simplest more complected intelligent models.

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ژورنال

عنوان ژورنال: Iraqi journal of chemical and petroleum engineering

سال: 2022

ISSN: ['1997-4884', '2618-0707']

DOI: https://doi.org/10.31699/ijcpe.2022.4.10