Optimal planning for wastewater disposal facilities: Application of geographic information system and data analytics

Ali Jamali, Amin Ettehadtavakkol, Katie Ramirez, Shawn Jamal

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper introduces a novel data-driven procedure to forecast Marcellus wastewater production and optimize the location and capacity of the disposal facilities. We propose a three-step data analysis procedure: data integration, predictive modeling, and facility planning. In the first step, we collected, processed, and cleaned data from regulatory agencies and public domains. This step delivered an integrated database of oil and gas production, also wastewater volume, origin, and transportation data. In the second step, we used predictive modeling tools, such as decline curve, correlation, regression, and spatial analyses, to forecast wastewater production on a well-by-well basis. In the third step, we used the predicted wastewater volumes to evaluate future regional disposal requirements and applied road network analysis to compute trucking distances and estimate optimal disposal facility size and locations.

Original languageEnglish
DOIs
StatePublished - 2018
EventSPE/AAPG/SEG Unconventional Resources Technology Conference 2018, URTC 2018 - Houston, United States
Duration: Jul 23 2018Jul 25 2018

Conference

ConferenceSPE/AAPG/SEG Unconventional Resources Technology Conference 2018, URTC 2018
CountryUnited States
CityHouston
Period07/23/1807/25/18

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