Estimating Mature Plays
41
these various factors should be incorporated into the successive sampling discovery model. The magnitude of a pool will therefore depend
on multivariate pool attributes: W j = W (Y j1 , Y j2 , … , Y jk ), where the attributes (Y j1 , Y j2 , … , Y jk ) associated with a deposit are observable after the
deposit is discovered. Specifi cally, we can write this as follows:
3
1
2
1
2
3
j
j
k
W Y
Y
Y
Y
=
×
×
×
b
b
b
b
!
(3.7)
where the β j ’s are the parameters to be specifi ed or estimated from the
data. For example, Y 1 is the volume, Y 2 is the area, and Y 3 is the porosity
Figure 3.8. Number-of-pools distribution of Keg River–Rainbow reef play,
Western Canada Sedimentary Basin. The expected value is 330.
41
these various factors should be incorporated into the successive sampling discovery model. The magnitude of a pool will therefore depend
on multivariate pool attributes: W j = W (Y j1 , Y j2 , … , Y jk ), where the attributes (Y j1 , Y j2 , … , Y jk ) associated with a deposit are observable after the
deposit is discovered. Specifi cally, we can write this as follows:
3
1
2
1
2
3
j
j
k
W Y
Y
Y
Y
=
×
×
×
b
b
b
b
!
(3.7)
where the β j ’s are the parameters to be specifi ed or estimated from the
data. For example, Y 1 is the volume, Y 2 is the area, and Y 3 is the porosity
Figure 3.8. Number-of-pools distribution of Keg River–Rainbow reef play,
Western Canada Sedimentary Basin. The expected value is 330.