Journal Publications

DOI number:10.1016/j.softx.2023.101367

Journal:Water Resources Management

Key Words:Python, machine learning, algorithms, hydro-geophysics, water

Abstract:Water exploration is a scientific domain mostly devoted to the hydro-geophysics field. For instance, geophysical methods such as direct-current, electromagnetic (EM), and logging are primarily used in companionship with pure hydrogeological techniques to propose the right location for drilling operations and determine the permeability coefficient (k) parameter. Unfortunately, despite this combination, unsuccessful, unsustainable boreholes are persisting and the k parameter collection remains difficult and costly thereby creating a huge loss for funders, geophysical and drilling ventures. watex library brings efficient algorithms and smart approaches to solve these issues. Indeed, the recovery of loss EM signals, the automatic location detection for drilling operations, the prediction of flow rate, and the mixture learning strategy using machine learning are some sustainable solutions developed by watex to reduce the numerous losses for future hydro-geophysical engineering projects.

Co-author:Liu Jianxin

First Author:Kouao Laurent Kouadio

Indexed by:Journal paper

Correspondence Author:Liu Rong

Document Type:J

Volume:22

Page Number:101367

Translation or Not:no

Date of Publication:2023-03-16

Included Journals:SCI、EI