Abstract:TX 75083-3836, U.S.A., fax 01-972-952-9435.
AbstractThis paper presents the results of a reservoir characterization and modelling study based on reservoir rock typing (RRT) of Lower Cretaceous carbonate reservoirs in one of Abu Dhabi Onshore oil fields. The final goal is to obtain multiple realizations of 3D descriptions of the petrophysical properties, namely porosity and permeability, which match and are consistent with the underlying RRT scheme, at the grid block level. The RRT were described in all section… Show more
“…The use of geostatistics in permeability prediction provides an additional uncertainty group that may be added into the hierarchical system of the multiple realizations scheme. 5 An important feature that needs to be satisfied for each realization is that the petrophysical properties have to be consistent with the underlying geological description of the field. That is, the generated properties, namely porosity and permeability, should be in agreement with the underlying facies/rock type description.…”
Section: Approach Implementation and Resultsmentioning
TX 75083-3836, U.S.A., fax 01-972-952-9435.
AbstractThis paper presents a practical approach in modeling a naturally fractured reservoir. The approach was used for a field study of a giant carbonate reservoir in the Middle East. The method is shown to be practical and comprehensive and yet has produced good results. It consists of a fully integrated effort from geological, geophysical and engineering disciplines. The overall goal of the study is to develop a representative reservoir model to form the basis for reservoir management and long-term development planning.The approach consists of the following procedures:• Generation of multiple realizations of matrix property using geostatistical techniques. The standard cosimulation procedure was implemented to ensure the consistency among reservoir properties, namely rock type, porosity and permeability. • Generation of multiple realizations of 3D fracture property by reconciling seismic, well logs and dynamic data. These were obtained from curvature analysis and seismic facies map validated by borehole image and dynamic data. The fracture network was described in the reservoir as lineaments (fracture swarms) showing two major fracture trends. • Calibration of the model permeability with well testderived permeability considering fracture distribution. A newly developed technique was implemented to ensure that the fine scale model (i.e., geological model) honors well test as well as production data before it was subjected to the flow simulation. The technique also generates permeability anisotropy to account for fracture orientations.• Ranking of multiple realizations using streamline simulation to select three representative realizations (low, medium and high models).• Upscaling of reservoir properties, including vertical upscaling level optimization using streamline simulation. • History matching and future performance prediction of the three selected realizations as a single media model. The use of single media model was based on the observation of relatively high matrix permeability in the major producing zone. However, for comparison purposes, a dual media model was also developed.• Uncertainty analysis of the future dynamic performance using a probabilistic approach. The procedure described above has been implemented successfully in a field study. The use of a calibration process in the geological model reduces the number of parameters that need to be adjusted during history matching. Consequently, history matching may concentrate on the uncertainty in parameters that have not been specifically accounted for in the geological modeling stage, such as relative permeability and aquifer size/strength.
“…The use of geostatistics in permeability prediction provides an additional uncertainty group that may be added into the hierarchical system of the multiple realizations scheme. 5 An important feature that needs to be satisfied for each realization is that the petrophysical properties have to be consistent with the underlying geological description of the field. That is, the generated properties, namely porosity and permeability, should be in agreement with the underlying facies/rock type description.…”
Section: Approach Implementation and Resultsmentioning
TX 75083-3836, U.S.A., fax 01-972-952-9435.
AbstractThis paper presents a practical approach in modeling a naturally fractured reservoir. The approach was used for a field study of a giant carbonate reservoir in the Middle East. The method is shown to be practical and comprehensive and yet has produced good results. It consists of a fully integrated effort from geological, geophysical and engineering disciplines. The overall goal of the study is to develop a representative reservoir model to form the basis for reservoir management and long-term development planning.The approach consists of the following procedures:• Generation of multiple realizations of matrix property using geostatistical techniques. The standard cosimulation procedure was implemented to ensure the consistency among reservoir properties, namely rock type, porosity and permeability. • Generation of multiple realizations of 3D fracture property by reconciling seismic, well logs and dynamic data. These were obtained from curvature analysis and seismic facies map validated by borehole image and dynamic data. The fracture network was described in the reservoir as lineaments (fracture swarms) showing two major fracture trends. • Calibration of the model permeability with well testderived permeability considering fracture distribution. A newly developed technique was implemented to ensure that the fine scale model (i.e., geological model) honors well test as well as production data before it was subjected to the flow simulation. The technique also generates permeability anisotropy to account for fracture orientations.• Ranking of multiple realizations using streamline simulation to select three representative realizations (low, medium and high models).• Upscaling of reservoir properties, including vertical upscaling level optimization using streamline simulation. • History matching and future performance prediction of the three selected realizations as a single media model. The use of single media model was based on the observation of relatively high matrix permeability in the major producing zone. However, for comparison purposes, a dual media model was also developed.• Uncertainty analysis of the future dynamic performance using a probabilistic approach. The procedure described above has been implemented successfully in a field study. The use of a calibration process in the geological model reduces the number of parameters that need to be adjusted during history matching. Consequently, history matching may concentrate on the uncertainty in parameters that have not been specifically accounted for in the geological modeling stage, such as relative permeability and aquifer size/strength.
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