A Survey of Machine Learning Assistance in Seismic Interpretation

The exploration and drilling of oil and gas are so expensive and takes a high responsibility for the geoscientists and interpreters to make their decision about the accurate place for drilling and this decision depends on a lot of underground factors. As researchers, we decided to conduct a survey about how to assist the geoscientists and seismic interpreters in making the right decision, with some of the underground characteristics that oil detection depends on. Our survey explains the use of machine learning algorithms to find geological characteristics such as Horizon, Fault, and Stratigraphy. The results show that interpretation by using machine learning algorithms has high accuracy and so close to the real seismic interpretations. Finally, it is noticed that there are a few experiments in this field due to the lack of available data set, although the result is acceptable, it needs time and a lot of experiments to apply on this important part.