Scientists from the Skolkovo Institute of Science and Technology have developed a model that will provide useful information about an oil well to improve drilling efficiency. The researchers’ work has been published in IEEE Geoscience and Remote Sensing Letters.
Work on an oil field can be divided into three phases: found, evaluated and developed. Second, the volumes and distribution of hydrocarbon reserves are determined. To do this, exploratory wells are drilled and probes are lowered into them, which record a large number of indicators.
Based on all these data, the model developed by Russian experts creates a mathematical representation – a vector that completely describes the well in a compressed form, explains Alexander Marusov, research engineer at Skoltech, the first author of the study. The model was trained using a self-learning method, which, unlike traditional training methods, does not require marking – providing data with an annotation.
In addition, the expert notes that the model will help determine the current type of rock with an accuracy of 82% and adjust the drilling process and direction so as not to start again. Marusov summarizes that the development will help to make decisions on the development of the field faster and more efficiently.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
