Reservoir
Characterization and Performance Prediction for a Volcanic-Hosted Geothermal
Reservoir:
Harrison, Chris1, Julfi Hadi2, Sri Rejeki3, Joao Keller1, Viet Hoang1, Onto Alamsyah2 (1) ChevronTexaco Energy Technology Co, San Ramon, CA (2) Star Energy, Jakarta, Indonesia (3) ChevronTexaco Energy Indonesia, Jakarta, Indonesia
Darajat is a large geothermal field located
southeast of
reserves
in excess of
200MMBOE, and includes the world’s highest-performing geothermal well. A
combination of geothermal techniques and geostatistical
modeling tools were used to produce a suite of fine scale models with discontinuous
layers of volcanic rocks and a distributed fracture system to characterise the reservoirs in the Field. These models were
then scaled up and carried through reservoir simulation to provide a
probabilistic assessment of anticipated performance of a planned major
expansion of the Darajat production facilities.
The facies model for vapor dominated
fields is especially critical since in these systems the
reserves
are stored
primarily within the rock matrix, with fractures controlling productivity.
Comparison of an idealised andesite
stratovolcano model with cores and cuttings from 31
wells and surface samples led to the development of a conceptual volcanic lithofacies model for the Field which guided the
distributions of matrix porosities and fracture densities in the models.
A suite of 3D
models of the subsurface were generated in goCad™
modeling using Experimental Design methods to capture the effects of
uncertainties
in key factors. The series of dynamic models developed integrated
the fine scale static models with other reservoir
uncertainties
such as
initial liquid saturation, recharge, reservoir depth, and relative permeabilities. The probabilistic performance of the
proposed Darajat expansion was evaluated using a
response surface model and