continuousAssessment: USGS Continuous Oil and Gas Assessment

In madorning/energySimMD: Spatial Energy Simulation: Linking Subsurface to Surface Resources

Description

Performs USGS assessment summarized in Charpentier (2010) as a vectorized Monte Carlo.

Usage

continuousAssessment(auMC, auType, auProbability, auAreaProductive,
  auAreaDrainage, auPercAreaUntested, auPercAreaSweet, auPercFutureSS, auEURss,
  auPercFutureNS = NULL, auEURns = NULL, auGOR = NULL, auNGLGR = NULL,
  auLGR = NULL, year)

Arguments

auMC	number of MC iterations to perform
auType	type of assessment, string specifier of 'oil' or 'gas'
auProbability	Probability: as a decimal percentage
auAreaProductive	Productive area of accumulation: c(min,mode,max) [acres]
auAreaDrainage	Uncertainty about average drainage area of wells: c(min,mode,max) [acres]
auPercAreaUntested	Percentage of total assessment-unit area that is untested: c(min,mode,max) [percentage]
auPercAreaSweet	Percentage of untested assessment-unit area in sweet spots: c(min,mode,max) [percentage]
auPercFutureSS	Future success ratio for sweet spots: c(min,mode,max) [percentage]
auEURss	Uncertainty about sweet spot average EUR (MMBO for oil; BCFG for gas): c(min,med,max) [MMBO or BCFG]
auPercFutureNS	Future success ratio for non-sweet spots: c(min,mode,max) [percentage]
auEURns	Uncertainty about non-sweet spot average EUR (MMBO for oil; BCFG for gas): c(min,med,max) [MMBO or BCFG]
auGOR	Gas/oil ratio (CFG/BO): c(min,mode,max) [CFG/BO]
auNGLGR	NGL/gas ratio (BNGL/MMCFG): c(min,mode,max) [BNGL/MMCFG]
auLGR	Liquids/gas ratio (BLIQ/MMCFG): c(min,mode,max) [BLIQ/MMCFG]
year	Year [XXXX] of factsheet publication of assessment numbers.

Details

If the AU is to be assessed as entirely sweet spot, simply omit the non-sweet spot variables. Due to the nature of random sampling, the simulation is vectorized and limited only by the available storage.

Value

A list where each row represents an MC iteration variable combination while the columns contain the sample distributions. The column names are as follows

• DrainageArea

• EURsweet

• EURnonSweet

• ProductiveArea

• PercAreaUntested

• PercAreaSweet

• PercFutureSweet

• PercFutureNonSweet

• untestedArea

• SweetArea

• NonSweetArea

• NumSweetWells

• NumNonSweetWells

• SweetAccumulation

• NonSweetAccumulation

• totalAccumulation

Depending on the type of assessment, also returns (for 'Gas')

• LGR

• SweetNGLinGas

• NonSweetNGLinGas

• totalNGLinGas

or returns (for 'Oil')

• GOR

• NGLGR

• SweetGasinOil

• NonSweetGasinOil

• totalGasInOil

• SweetNGLinOil

• NonSweetNGLinOil

• totalNGLinOil

Note

Edited by CDMartinez 24 Nov 15. As of July 2016, the standard 'z-score' for the EUR distribution is implemented as 2.326 (99%) in enforceRankCorrelation. Assigning year <= 1 will assume zscore of 3.09 (99.9%) as used in conventionalAssessment EUR distributions since approximately 2013.

Author(s)

Created by CDMartinez 10 Nov 15

References

Charpentier, Ronald R, and Troy Cook, 2010, Improved USGS Methodology for Assessing Continuous Petroleum Resources. U.S. Geological Survey Data Series 547, 2: 22.

Examples

OGasmt <- continuousAssessment(auMC = 50000,
auType = 'Oil',
auProbability = 1,
auAreaProductive = c(2800000,3100000,3400000),
auAreaDrainage = c(320,400,600),
auPercAreaUntested = c(80,87,91),
auPercAreaSweet = c(24,29,70),
auPercFutureSS = c(98,99,100),
auEURss = c(0.225,0.25,0.325),
auPercFutureNS = c(80,90,95),
auEURns = c(0.075,0.15,0.25),
auGOR = c(500,1000,1500),
auNGLGR = c(35,85,115),
year = 2013)
round(continuousAssessmentSummary(OGasmt$risked))

madorning/energySimMD documentation built on May 22, 2019, 2:40 p.m.