<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>T. R. Klett</dc:contributor>
  <dc:creator>Ronald R. Charpentier</dc:creator>
  <dc:date>2007</dc:date>
  <dc:description>The U.S. Geological Survey has developed two Monte Carlo programs for assessment of undiscovered conventional oil and gas resources. EMCEE (for Energy Monte Carlo) and Emc2 (for Energy Monte Carlo program 2) are programs that calculate probabilistic estimates of undiscovered resources based on input distributions for numbers and sizes of undiscovered fields. Emc2 uses specific types of distributions for the input, whereas EMCEE allows greater flexibility of the input distribution types.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.3133/pp171326</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>U.S. Geological Survey</dc:publisher>
  <dc:title>A Monte Carlo simulation method for the assessment of undiscovered, conventional oil and gas: Chapter 26 in &lt;i&gt;Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California&lt;/i&gt;</dc:title>
  <dc:type>reports</dc:type>
</oai_dc:dc>