Use of Plays and Field Size Distributions in Minerals Management Service's Assessment of Undiscovered Domestic Petroleum Resources: ABSTRACT

AAPG Bulletin ◽  
1988 ◽  
Vol 72 ◽  
Author(s):  
Gary L. Lore, William C. Pecora
Keyword(s):  
Field Size ◽  
Size Distributions ◽  
Petroleum Resources

Economic Implications of Petroleum Field Size Distributions

1990 ◽  
Vol 8 (3) ◽  
pp. 245-257
Author(s):  
Emil D. Attanasi ◽  
Lawrence J. Drew
Keyword(s):  
Field Size ◽  
Size Distributions ◽  
Economic Implications ◽  
Petroleum Field

Field Size Distributions for California Basins: ABSTRACT

AAPG Bulletin ◽  
1994 ◽  
Vol 78 ◽  
Author(s):  
David C. Bartel
Keyword(s):  
Field Size ◽  
Size Distributions

A simple and practical method for estimating undiscovered hydrocarbons for a specified timeframe

2015 ◽  
Vol 55 (2) ◽  
pp. 449 ◽  
Author(s):  
Nick Eustance ◽  
Steve Newman
Keyword(s):  
Practical Method ◽  
Field Size ◽  
Size Distributions ◽  
Forecast Period ◽  
Oil Companies ◽  
Data Intensive ◽  
Hydrocarbon Resource ◽  
Parabolic Form ◽  
Resource Data ◽  
Average Size

A simple approach has been developed to predict yet-to-find (YTF) hydrocarbons to be discovered in a basin within a specified timeframe. The methodology uses basic exploration and resource data to address the requirement of oil companies, governments, utilities and financial institutions so that these understand the resources available for future markets within a defined timeframe (e.g, in the next 15 years). In contrast, conventional approaches to estimate the YTF in a moderately mature basin tend to predict the ultimate resource of a basin, unqualified by time. Such techniques reply on data-intensive geological assessments or use the parabolic form of a log-log plot of cumulative hydrocarbon resource against field rank, coupled with an extrapolation of a cumulative resource against field rank (the creaming curve) to an asymptote. The approach uses annual exploration data, dry hole and discoveries, and the discovery size. Three parameters are defined for the forecast period: the average number of wells per year, the average chance of a discovery, and its average size. Low, mid and high case values of each parameter are estimated, and these are combined probabilistically to produce P90, P50, P10 YTF volumes. These become end points for the forecast period, that are used to extrapolate the creaming curve. Iterating with the input parameters optimises forecasts with respect to the historical dataset. The approach can be extended to predict future field size distributions. Forecasts are made for the Bonaparte, Browse, Carnarvon and Perth Basins. The total P50 undiscovered gas resource for these basins for the next 15 years is estimated at 25.1 Tcf.

Field size distributions for selected agricultural crops in the United States and Canada

1986 ◽  
Vol 19 (1) ◽  
pp. 25-45 ◽  
Author(s):  
M FERGUSON ◽  
G BADHWAR ◽  
R CHHIKARA ◽  
D PITTS
Keyword(s):  
United States ◽  
The United States ◽  
Field Size ◽  
Size Distributions ◽  
Agricultural Crops

Reconciling field size distributions of the US NASS (National Agricultural Statistics Service) cropland data

2014 ◽  
Vol 109 ◽  
pp. 232-246 ◽  
Author(s):  
Yubin Yang ◽  
Lloyd T. Wilson ◽  
Jing Wang
Keyword(s):  
Field Size ◽  
Size Distributions ◽  
The Us

Observed oil and gas field size distributions: A consequence of the discovery process and prices of oil and gas

1988 ◽  
Vol 20 (8) ◽  
pp. 939-953 ◽  
Author(s):  
Lawrence J. Drew ◽  
Emil D. Attanasi ◽  
John H. Schuenemeyer
Keyword(s):  
Oil And Gas ◽  
Field Size ◽  
Size Distributions ◽  
Discovery Process ◽  
Gas Field ◽  
Oil And Gas Field
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