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As more hydrocarbon production from hydraulic fracturing and other methods produce large volumes of water, innovative methods must be explored for treatment and reuse of these waters. However, understanding the general water chemistry of these fluids is essential to providing the best treatment options optimized for each producing area. Machine learning algorithms can often be applied to datasets to solve complex problems. In this study, we used the U.S. Geological Survey’s National Produced Waters Geochemical Database (USGS PWGD) in an exploratory exercise to determine if systematic variations exist between produced waters and geologic environment that could be used to accurately classify a water sample to a given...
Categories: Data; Tags: Alabama, Alaska, Alaska Region, Arizona, Arkansas, All tags...
A data management plan (DMP) helps staff identify and plan to support the data management needs of a project. This document provides guidance on how to develop a DMP and identifies the items that should be considered to help ensure that data and associated products are documented, discoverable, accessible and secure throughout their useful lifespan. A DMP: 1) identifies key data management roles, 2) identifies project staff that will fill those roles and perform the associated duties and 3) summarizes how data are acquired, used, maintained and distributed. Any non-standard workflows, security requirements or access restrictions should be emphasized in the DMP.The information in a DMP is used by project staff to...


    map background search result map search result map Input Files and Code for: Machine learning can accurately assign geologic basin to produced water samples using major geochemical parameters Input Files and Code for: Machine learning can accurately assign geologic basin to produced water samples using major geochemical parameters