Using Machine Learning to locate geological deposits

萨斯喀彻温省理工学院（SP）的数字集成卓越中心（DICE）和彼得卢卡斯项目管理公司的地质专家。(PL)将合作开发一个数字系统，以确定含有大量砾石的骨料来源。砾石是一种不可再生资源，几乎用于建筑的各个方面。砾石来源的识别和相应的管理对许多不同的行业都很重要。该项目将研究使用机器学习（ML）和/或神经网络算法来确定地图上包含砾石的位置的概率。这项技术可以帮助找到更多的资源，增加供应，节省成本，并减少温室气体，因为最小化运输。在这个项目中所做的工作扩展了SP DICE和PL之间以前的合作，这些合作已经显示出了希望。

Saskatchewan Polytechnic (SP)'s Digital Integration Centre of Excellence (DICE) and geological experts at Peter Lucas Project Management Inc. (PL) will collaborate on the development of a digital system to locate aggregate sources with a large gravel content. Gravel is a non-renewable resource that is used in almost every aspect of construction. The identification of sources of gravel and the corresponding management of it is important to many different industries. The project will examine the use of machine learning (ML) and or neural network algorithms to determine the probability of a location on a map containing gravel. This resulting technology can help find more sources, will increase supply, save costs, and reduce greenhouse gases due to minimized hauling. The work done in this project expands on previous collaborations between SP DICE and PL that have shown promise.