
Ergodic and non-ergodic variogram uncertainty in Agbabu bitumen field porosity data
Author(s) -
Olatunde O. Mosobalaje,
M V Ajia,
O. D. Orodu,
D.O. Ogbe
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/640/1/012120
Subject(s) - variogram , ergodic theory , lag , mathematics , context (archaeology) , statistics , field (mathematics) , statistical physics , soil science , environmental science , geology , computer science , mathematical analysis , physics , kriging , computer network , paleontology , pure mathematics
A recent investigation estimated and modeled the variogram of the porosity attribute of the bitumen field located at Agbabu, south-west Nigeria. In spite of methodological interventions made during the estimation, the variogram estimates obtained are still uncertain due to preferential and limited sample data. This current research therefore assesses the uncertainty in the ergodic and non-ergodic variogram estimates. Multiple samples required for ergodic and non-ergodic variogram estimates have been drawn from simulated realizations of the porosity random field. Variogram estimates have been obtained (using a recently-formulated lag-cluster technique and conventional technique) for each sample. The sampling distributions of these estimates have been examined with histograms and Normal Q-Q plots. The estimates exhibit approximately Normal distributions. The uncertainty in the ergodic variogram increases from 1.4×10 −7 at lag 16.7 m to 4.6×10 −7 at lag 4601.4 m; thereafter, it appears to flatten out. For most lag distances, the uncertainty in the non-ergodic variogram is constant at about 1.8×10 −7 ; it fluctuates at large lag distances. The uncertainty in non-ergodic estimates is observed to be lower than the uncertainty in ergodic estimates. Consequently, that the current well spacing and distribution in Agbabu field is deemed adequate in the context of variogram estimation.