Forecasting the impacts of shale gas developments on public health and transportation systems on both sides of the Mexico-U.S. border.

Details

• Creators:
  Medina-Cetina, Zenon ; Varela, Patricia
• Corporate Creators:
  Texas A&M Transportation Institute
• Corporate Contributors:
  University Transportation Centers Program (U.S.)
• Subject/TRT Terms:
  Environmental Impacts Forecasting Geographic Information Systems Natural Gas Public Health Risk Assessment Shale
• Publication/ Report Number:
  SWUTC/15/600451-00027-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas
• Corporate Publisher:
  Southwest Region University Transportation Center (U.S.)
• Abstract:
  The activities completed for this project includes the literature research on the Eagle Ford formation, the review
  
  of public-health and transportation related variables to shale gas developments, and the definition of the project
  
  collaborative site at Prof. Medina-Cetina’s Stochastic Geomechanics Laboratory SGL server
  
  https://stochasticgeomechanics.civil.tamu.edu/wiki/projects/bngis/BN__GIS.html.
  
  Also, a collection of spatial data from the Eagle Ford Shale, including transportation infrastructure, geology,
  
  hydrology, demography, and well production was gathered. In this project, researchers developed an
  
  improvement of the proposed Bayesian Network for the regional assessment of environmental and social risk
  
  (i.e., transportation infrastructure and public health) by enhancing the BN+GIS Model for Environmental
  
  Sensibility assessment including a Surface Water variable. This required the improvement and optimization of
  
  the code producing BN+GIS results to reduce computational time. Afterward, researchers attained results on the
  
  implementation of enhanced BN+GIS model in the Barnett Shale Play. Consequently, researchers completed a
  
  paper to be submitted in the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems named
  
  “Bayesian Networks and Geographical Information Systems for Environmental Risk Assessment for Oil and gas
  
  Site Developments.”
  
  Following up this activity, researchers defined the objectives, hypothesis, and methodology for a parametric
  
  sensitivity analysis on the BN+GIS Model used for Risk Assessment on the Barnett Shale. Additionally,
  
  researchers developed an investigation about commercially available simulators (software) used for estimating
  
  production in unconventional reservoirs.
  
  
• Format:
  PDF
• Funding:
  DTRT12-G-UTC06
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha256:c2e47fa2924768c12b94df509a8049ef7efbf9c10a1d0d75cb18f15aa425d4af
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29314/dot_29314_DS1.pdf
• File Type:
  [PDF - 2.27 MB ]