226
Index
mean and variance (continued)
of hypothetical
superpopulation, 17
of tested populations, 63
and random sampling, 36
measurement error, 50, 118, 120
Michigan reef data, 3, 95, 161–2
migration of hydrocarbons, 8, 31, 103,
107–8, 112, 115, 137, 153, 156–7
history of, 8
lateral and vertical, 156
pathway of, 8, 107
molar activation energy, 159
Monte Carlo method, 116–19, 126, 147
assessing accuracy of, 118
simulation procedure, 51, 57, 73
multiple regression analysis, 45
multivariate discovery process model.
See Bivariate Lognormal,
Multivariate Discovery Process
Model (MDSCV)
NDSCV. See Nonparametric
Discovery Process Model
net pay, 4, 9, 11, 16, 22, 31, 45, 103–4,
120–24, 135, 140
New Mexico, 73, 163
Niagaran (Silurian) pinnacle reef
play, 95, 161–2
nonlinear regression method, 73
Nonparametric Discovery Process
Model (NDSCV), 27, 33–9, 45,
51–4, 61, 63, 66–71, 73–80, 85,
88, 100, 144–6, 161–2, 165
nonparametric–empirical
method, 34, 161–2
nonparametric fi nite population
method, 3, 5, 13, 17, 161, 163–5
nonparametric log-likelihood
values, 36, 66–70, 73
nonparametric–lognormal
method, 13, 27, 33, 36–40, 91,
102, 161, 166
nonparametric–Pareto method, 161–2
nonparametric pool-size
distribution, 34, 38, 55, 57, 85
normal statistics, 12
Northwest Territories, 18
“number crunching” of pool data, 149
number-of-pools distribution, 5, 16–18,
26–7, 36–9, 41, 46–7, 50–51, 56–7,
127, 130–33, 147, 151
discrete, 16–17, 36
estimating, 37–8, 101
posterior, 27, 39
prior, 39
number of prospects, 37, 39, 118,
127–9, 138–9, 164
distribution, 5, 37, 127, 130
expected, 129
total, 164
observed data, mass assigned to
(NDSCV), 88
oil, 20, 34, 39, 52, 103, 107, 116, 140,
157, 159, 169
play, 18–20, 26–7, 34, 39, 42, 82,
143–5, 171, 173
pool, 19, 34, 44, 82–4, 88, 120
appreciation/depreciation
of, 83–4
and random discovery, 88
price, 42, 144–5, 167
show, 19, 112, 144
shrinkage factor, 120, 137
well. See well
oil and gas, 19, 26, 43–5, 73, 88, 103,
116, 158, 167
accumulation, 103, 144, 156, 158
bivariate density function, 44
joint distribution, 26, 43–4
play, 28, 30, 37, 39, 42, 44–5, 49,
58–9, 74–6, 143–7
pool, 26, 30–34, 42–3, 47, 53, 56, 63,
72–3, 80, 82–5, 87–8, 102–3, 105,
143–51
commercial, 34, 49, 51, 60, 85, 144
process of formation of, 103, 156
trap volume, 43–4
window, 86, 107, 159–61
oil-in-place, 58–9, 102, 120, 124
order statistics, 15, 17, 45–7
organic carbon, 113–4, 156
organic matter, 10, 19, 103, 113, 157, 159
decomposition condition of, 159
organic maturation data, 143
outlier, 18, 21–2, 50, 53, 89, 94
defi ned, 21
excluded from Q–Q plots, 94
proneness, 18, 21, 50
recognition of (on box plot), 21–2
paleoheat fl ow of source bed, 159
paleotectonic history, 158–9
Pareto distribution, 17, 34, 62–3, 65,
90–91, 94, 98–9, 101–2, 105
and S shape on Q–Q plot, 90–91,
102
shape factor, 62–3, 91
shifted, 90
Index
mean and variance (continued)
of hypothetical
superpopulation, 17
of tested populations, 63
and random sampling, 36
measurement error, 50, 118, 120
Michigan reef data, 3, 95, 161–2
migration of hydrocarbons, 8, 31, 103,
107–8, 112, 115, 137, 153, 156–7
history of, 8
lateral and vertical, 156
pathway of, 8, 107
molar activation energy, 159
Monte Carlo method, 116–19, 126, 147
assessing accuracy of, 118
simulation procedure, 51, 57, 73
multiple regression analysis, 45
multivariate discovery process model.
See Bivariate Lognormal,
Multivariate Discovery Process
Model (MDSCV)
NDSCV. See Nonparametric
Discovery Process Model
net pay, 4, 9, 11, 16, 22, 31, 45, 103–4,
120–24, 135, 140
New Mexico, 73, 163
Niagaran (Silurian) pinnacle reef
play, 95, 161–2
nonlinear regression method, 73
Nonparametric Discovery Process
Model (NDSCV), 27, 33–9, 45,
51–4, 61, 63, 66–71, 73–80, 85,
88, 100, 144–6, 161–2, 165
nonparametric–empirical
method, 34, 161–2
nonparametric fi nite population
method, 3, 5, 13, 17, 161, 163–5
nonparametric log-likelihood
values, 36, 66–70, 73
nonparametric–lognormal
method, 13, 27, 33, 36–40, 91,
102, 161, 166
nonparametric–Pareto method, 161–2
nonparametric pool-size
distribution, 34, 38, 55, 57, 85
normal statistics, 12
Northwest Territories, 18
“number crunching” of pool data, 149
number-of-pools distribution, 5, 16–18,
26–7, 36–9, 41, 46–7, 50–51, 56–7,
127, 130–33, 147, 151
discrete, 16–17, 36
estimating, 37–8, 101
posterior, 27, 39
prior, 39
number of prospects, 37, 39, 118,
127–9, 138–9, 164
distribution, 5, 37, 127, 130
expected, 129
total, 164
observed data, mass assigned to
(NDSCV), 88
oil, 20, 34, 39, 52, 103, 107, 116, 140,
157, 159, 169
play, 18–20, 26–7, 34, 39, 42, 82,
143–5, 171, 173
pool, 19, 34, 44, 82–4, 88, 120
appreciation/depreciation
of, 83–4
and random discovery, 88
price, 42, 144–5, 167
show, 19, 112, 144
shrinkage factor, 120, 137
well. See well
oil and gas, 19, 26, 43–5, 73, 88, 103,
116, 158, 167
accumulation, 103, 144, 156, 158
bivariate density function, 44
joint distribution, 26, 43–4
play, 28, 30, 37, 39, 42, 44–5, 49,
58–9, 74–6, 143–7
pool, 26, 30–34, 42–3, 47, 53, 56, 63,
72–3, 80, 82–5, 87–8, 102–3, 105,
143–51
commercial, 34, 49, 51, 60, 85, 144
process of formation of, 103, 156
trap volume, 43–4
window, 86, 107, 159–61
oil-in-place, 58–9, 102, 120, 124
order statistics, 15, 17, 45–7
organic carbon, 113–4, 156
organic matter, 10, 19, 103, 113, 157, 159
decomposition condition of, 159
organic maturation data, 143
outlier, 18, 21–2, 50, 53, 89, 94
defi ned, 21
excluded from Q–Q plots, 94
proneness, 18, 21, 50
recognition of (on box plot), 21–2
paleoheat fl ow of source bed, 159
paleotectonic history, 158–9
Pareto distribution, 17, 34, 62–3, 65,
90–91, 94, 98–9, 101–2, 105
and S shape on Q–Q plot, 90–91,
102
shape factor, 62–3, 91
shifted, 90