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COLLABORATIVE DRILL RIG 1-HOUR NO 2 IMPACTS STUDY April 2014

COLLABORATIVE DRILL RIG 1-HOUR NO 2 IMPACTS STUDY

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COLLABORATIVE DRILL RIG 1-HOUR NO 2 IMPACTS STUDY. April 2014. STUDY CONCEPTS. Collaborative effort between BLM, EPA, States, other FLMs and the Oil and Gas Industry to better predict 1-hour NO 2 impacts from drill rigs through a field study: Monitoring - PowerPoint PPT Presentation

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Page 1: COLLABORATIVE DRILL RIG 1-HOUR NO 2   IMPACTS STUDY

COLLABORATIVE DRILL RIG 1-HOUR NO2 IMPACTS STUDY

April 2014

Page 2: COLLABORATIVE DRILL RIG 1-HOUR NO 2   IMPACTS STUDY

STUDY CONCEPTS Collaborative effort between BLM, EPA, States, other

FLMs and the Oil and Gas Industry to better predict 1-hour NO2 impacts from drill rigs through a field study:• Monitoring

NO2 concentrations at multiple locations near operating drill rigs

Meteorological conditions (i.e. – met stations)• Measuring

Drill rig emissions (i.e. – stack testing)• Modeling

Model using data from monitoring and measurements

Page 3: COLLABORATIVE DRILL RIG 1-HOUR NO 2   IMPACTS STUDY

STUDY OBJECTIVES Data Gathering

• Better emissions and impact data to inform oil and gas production NEPA analyses

Oil & Gas Drill Rig Impact data• Monitored and modeled impacts

1-hour NO2 Modeling• Develop more accurate methodology for drill rig emission impacts

Page 4: COLLABORATIVE DRILL RIG 1-HOUR NO 2   IMPACTS STUDY

STUDY BENEFITS Collection of ambient and emissions rate data to

inform model performance evaluation Improves NEPA analysis by providing scientific

basis and accurate public disclosure of drill rig impacts

Provides data for evaluation of performance of the OLM and PVMRM methods to determine 1-hour NO2 impacts

Collaborative approach allows for input and funding from federal agencies, states and industry, all who need better information about NO2 impacts

Page 5: COLLABORATIVE DRILL RIG 1-HOUR NO 2   IMPACTS STUDY

NEXT STEPS Workplan development

• Convene EPA, FLMs, industry and states to discuss concept and collaboration—March-April 2014

Field study design development—March -May 2014

Field data collection—May-September 2014

Data analysis, model evaluation, reporting—September 2014-February 2015