Index
225
Keg River–Rainbow reef play, 25,
40–42, 145
Keg River reefs, 23, 25, 39
Keg River–Sulphur Point–Slave Point
carbonate barrier, 10–11
LDSCV. See Lognormal Discovery
Process Model
law of proportionate effect, 103
Leduc–Bashaw oil play, 171, 173
Leduc isolated reef play, 21, 43–4, 82,
86
oil pools, divided into time
windows, 82–3, 86
Leduc reef trend, 8–9
likelihood function, 30–34, 73
likelihood of occurrence, 11–12
lithology, 140, 159
logarithmic transformed data, 28–9,
62, 64–5, 73, 88, 100, 144–5, 168
log density vs. log pool size, 104–5
log fi eld size vs. discovery
number, 167–9
log-geometric fi eld-size
distribution, 167
log-geometric method (USGS), 3, 153,
161, 166
log likelihood, 31, 34–7, 63, 66–70, 73,
88, 145
log-linear relationship, 122
log net pay, 22, 25, 45
Lognormal Discovery Process Model
(LDSCV), 27–39, 45, 51, 53–4,
61, 63, 66–71, 73–81, 83, 85–6,
88, 100, 144–5, 161–2, 165
geological meaning of (diagram), 32
lognormal distribution, 7, 13, 18,
24–5, 27–9, 31–4, 38, 42–5, 48,
54, 57, 61–2, 74, 88–9, 91–6,
100–105, 116, 119, 121–6, 132,
136, 139, 144, 147, 169, 175
approximating geological random
variable, 54, 57, 91, 102–3, 116,
119, 126, 139, 147
bivariate, 27, 43, 45
estimating, 43–5
multivariate, 27, 42, 119, 136
probability density function, 42, 62
lognormality, assumption of, 32, 34,
38, 61, 71–2, 89–90, 103, 105,
144–5, 169
lognormal/nonparametric
discovery process model.
See Bayesian Lognormal/
Nonparametric–Poisson
Discovery Process Model
(BDSCV)
lognormal pool-size distribution,
27–8, 31, 38, 57, 88, 103, 116,
119–20, 122, 126, 169–70
skewed, 48–9
of superpopulation model, 32–3
lognormal population, 13, 24–5, 28–9,
61–4, 66, 68–79, 87–8, 102
simulated, 66, 69
lognormal superpopulation, 17–18,
27–8, 32–3, 42, 166, 169
log pool area, 22, 25, 45
log pool size, 45, 105
log porosity, 45, 121–2
log probability, 23–5
log water saturation, 45, 121–2
Long’s method, 153, 170
Louisiana, onshore/offshore
resources, 118
Lower Mannville Formation, 12–13,
103–4
MDSCV. See Bivariate Lognormal,
Multivariate Discovery Process
Model
map, 19, 127, 138, 140–41, 143, 156
facies, 19, 140
isopach, 140
structural contour, 37, 124, 127,
138, 140
“marble fi shing,” 87
margin (structural boundary
area), 19, 39, 82, 85, 155–8
marginal probability, 15, 107–8,
111–12, 114–16, 130, 137–8, 143
estimating, 107–8, 116, 140, 143
marketable gas volume, 19, 140, 172
matching process, 17, 34, 51–4, 56,
58–9, 89, 145–6, 150
maturation, 112–13, 137–8, 140, 143, 157
maximum-likelihood method, 31, 37,
87, 100
of LDSCV and NDSCV, 37
mean and variance. See also variance
and estimating distribution, 13,
15–17, 25, 27–8, 36, 73, 119, 127,
136–7, 169
of lognormal
superpopulation, 169
of play resource distribution, 57
of pool-size distribution, 25, 73,
119, 137
of population, 13, 15–16, 27–8, 63
known, 17, 57, 63
225
Keg River–Rainbow reef play, 25,
40–42, 145
Keg River reefs, 23, 25, 39
Keg River–Sulphur Point–Slave Point
carbonate barrier, 10–11
LDSCV. See Lognormal Discovery
Process Model
law of proportionate effect, 103
Leduc–Bashaw oil play, 171, 173
Leduc isolated reef play, 21, 43–4, 82,
86
oil pools, divided into time
windows, 82–3, 86
Leduc reef trend, 8–9
likelihood function, 30–34, 73
likelihood of occurrence, 11–12
lithology, 140, 159
logarithmic transformed data, 28–9,
62, 64–5, 73, 88, 100, 144–5, 168
log density vs. log pool size, 104–5
log fi eld size vs. discovery
number, 167–9
log-geometric fi eld-size
distribution, 167
log-geometric method (USGS), 3, 153,
161, 166
log likelihood, 31, 34–7, 63, 66–70, 73,
88, 145
log-linear relationship, 122
log net pay, 22, 25, 45
Lognormal Discovery Process Model
(LDSCV), 27–39, 45, 51, 53–4,
61, 63, 66–71, 73–81, 83, 85–6,
88, 100, 144–5, 161–2, 165
geological meaning of (diagram), 32
lognormal distribution, 7, 13, 18,
24–5, 27–9, 31–4, 38, 42–5, 48,
54, 57, 61–2, 74, 88–9, 91–6,
100–105, 116, 119, 121–6, 132,
136, 139, 144, 147, 169, 175
approximating geological random
variable, 54, 57, 91, 102–3, 116,
119, 126, 139, 147
bivariate, 27, 43, 45
estimating, 43–5
multivariate, 27, 42, 119, 136
probability density function, 42, 62
lognormality, assumption of, 32, 34,
38, 61, 71–2, 89–90, 103, 105,
144–5, 169
lognormal/nonparametric
discovery process model.
See Bayesian Lognormal/
Nonparametric–Poisson
Discovery Process Model
(BDSCV)
lognormal pool-size distribution,
27–8, 31, 38, 57, 88, 103, 116,
119–20, 122, 126, 169–70
skewed, 48–9
of superpopulation model, 32–3
lognormal population, 13, 24–5, 28–9,
61–4, 66, 68–79, 87–8, 102
simulated, 66, 69
lognormal superpopulation, 17–18,
27–8, 32–3, 42, 166, 169
log pool area, 22, 25, 45
log pool size, 45, 105
log porosity, 45, 121–2
log probability, 23–5
log water saturation, 45, 121–2
Long’s method, 153, 170
Louisiana, onshore/offshore
resources, 118
Lower Mannville Formation, 12–13,
103–4
MDSCV. See Bivariate Lognormal,
Multivariate Discovery Process
Model
map, 19, 127, 138, 140–41, 143, 156
facies, 19, 140
isopach, 140
structural contour, 37, 124, 127,
138, 140
“marble fi shing,” 87
margin (structural boundary
area), 19, 39, 82, 85, 155–8
marginal probability, 15, 107–8,
111–12, 114–16, 130, 137–8, 143
estimating, 107–8, 116, 140, 143
marketable gas volume, 19, 140, 172
matching process, 17, 34, 51–4, 56,
58–9, 89, 145–6, 150
maturation, 112–13, 137–8, 140, 143, 157
maximum-likelihood method, 31, 37,
87, 100
of LDSCV and NDSCV, 37
mean and variance. See also variance
and estimating distribution, 13,
15–17, 25, 27–8, 36, 73, 119, 127,
136–7, 169
of lognormal
superpopulation, 169
of play resource distribution, 57
of pool-size distribution, 25, 73,
119, 137
of population, 13, 15–16, 27–8, 63
known, 17, 57, 63