--> Abstract: Uncertainty Assessment and Risk Analysis for a Future Field Development Phase in a Carbonate Reservoir, Onshore Abu Dhabi, United Arab Emirates, by Irfan Hendrawan, Maria Ribeiro, Marc Vesseron, Khalid Al Marzouqi, Ahmed El Mahdi, Dany Cadiou, Paul Henley, and and Stuart Walley; #90077 (2008)

Datapages, Inc.Print this page

Uncertainty Assessment and Risk Analysis for a Future Field Development Phase in a Carbonate Reservoir, Onshore Abu Dhabi, United Arab Emirates

Irfan Hendrawan1*, Maria Ribeiro1, Marc Vesseron1, Khalid Al Marzouqi1, Ahmed El Mahdi1, Dany Cadiou2, Paul Henley2, and Stuart Walley2
1ADCO
2Paradigm, UAE
*[email protected]

Quantifying, ranking and weighting of reservoir uncertainties based on several variables can be a real challenge for volumetric estimation. This is because the variables are related to many parameters such as tool measurements, seismic processing, velocity modeling, petrophysical evaluation, geological interpretation, modeling parameters, saturation functions among others. The oil field potential assessment in the current study was based on the first phase of a development drilling campaign and recent appraisal drilling over a less controlled area in shallow waters. A stochastic uncertainty analysis, using the JACTA (GocadTM plug-ins) software, allowed a decision on the location of the latest appraisal well and an inference on the further development phase scheme for the field. The study included vertical, deviated and horizontal wells within Phase I and new development phase areas. A large number of simulations revealed a statistical distribution of the reservoir volumes and its connectivity. In general, the major uncertainties are from three main categories: structural, petrophysical and fluid parameters. The inter-dependence among parameters was properly captured during the uncertainty workflow. The different realizations from the static model (P90, P50 and P10) were upscaled to fit the dynamic model grid-size limitations. The upscaled models along with the other dynamic data from the fluid properties (pressure, volume and temperature data), special core analysis, well completion and production/injection data were used to build the dynamic simulation models. The P50 model was then initially tested and history-matched before using it to forecast the different development scenarios to select the most viable option against the P90 and P10 models.

 

AAPG Search and Discovery Article #90077©2008 GEO 2008 Middle East Conference and Exhibition, Manama, Bahrain