Abstract
During the logging, the sand ratio of rock debris is an important index to describe the oil content of the well at a certain depth, which can reflect the well depth of the bottom of the drill rod in different kinds of rock layers. The traditional calculation method of ratio sandstone to mudstone is artificial recognition, which takes a long time and has a low accuracy. This text applies the deep learning method to realize the automatic recognition calculation of ratio sandstone to mudstone, which has low cost, fast speed and high accuracy, and is suitable for practical field application. This text first uses the morphological watershed algorithm to divide the rock chips and obtain the rock particles, and then uses the convolutional neural network to calculate ratio sandstone to mudstone.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
