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Carbonate rock typing provides a vehicle to propagate petrophysical properties through association with geological attributes and, therefore, is critical for distributing reservoir properties, such as permeability and water saturation, in the reservoir model. The conventional approaches to rock typing have significant gaps in incorporating diagenetic processes, transferring rock types from core to log domain, accounting for fractures and using appropriate methodology to realistically distribute rock types in the static reservoir model. The workflow proposed in this paper addresses these issues in a comprehensive way by determination of petrophysical rock types (PRTs), which control static properties and dynamic behaviour of the reservoir, while optimally linking to geological attributes (depositional and diagenetic) and their spatial interrelationships and trends. This approach is novel for the fact that it: (1) integrates geological processes, petrophysics and Earth modelling aspects of rock typing; (2) integrates core and log scales; and (3) provides a flexible ‘road map’ from core to 3D model for variable data scenarios that can be updated with progressive changes in data quality and quantity during the life cycle of an asset. This paper introduces the rationale behind this workflow, and demonstrates its workings and agility through deployment in two large carbonate fields.
Carbonate rock typing provides a vehicle to propagate petrophysical properties through association with geological attributes and, therefore, is critical for distributing reservoir properties, such as permeability and water saturation, in the reservoir model. The conventional approaches to rock typing have significant gaps in incorporating diagenetic processes, transferring rock types from core to log domain, accounting for fractures and using appropriate methodology to realistically distribute rock types in the static reservoir model. The workflow proposed in this paper addresses these issues in a comprehensive way by determination of petrophysical rock types (PRTs), which control static properties and dynamic behaviour of the reservoir, while optimally linking to geological attributes (depositional and diagenetic) and their spatial interrelationships and trends. This approach is novel for the fact that it: (1) integrates geological processes, petrophysics and Earth modelling aspects of rock typing; (2) integrates core and log scales; and (3) provides a flexible ‘road map’ from core to 3D model for variable data scenarios that can be updated with progressive changes in data quality and quantity during the life cycle of an asset. This paper introduces the rationale behind this workflow, and demonstrates its workings and agility through deployment in two large carbonate fields.
Reservoirs in Algeria typically contain multiple rock types from different facies depositional systems, and their identification and their evaluation in some areas, is becoming more challenging. It's not easy to get a unique permeability value for specific flow-unit without combining different formation evaluation disciplines. Logs, cores and Well tests data, provide information not only of different kinds of permeability but also at different scale measurements.The presented methodology is a case study of an integrated work performed during an exploration and appraisal stage in a gas field in Algeria.The integration technique steps consisted of: • Identifying facies and hydraulic units from core data analysis • Computing permeability curve in the entire reservoir including the non-cored zones by combining logs and porosity/permeability relationship of each hydraulic flow unit. • Analyzing well testing transient pressures and estimating flow capacity.• Computing permeability at the identified flow-unit scale by the analysis of wireline formation tester data using its inflatable straddle packer configuration.The synthetic permeability curve showed a good correlation between core data and predicted values. A thickness that is actively contributing to the flow has been identified. Permeability values at the flow-unit scale were then computed.The obtained results from the integrated technique provide accurate dynamic characteristics in a gas-bearing formation and constrain the producibility knowledge of a reservoir.
Most gas reserves in Algeria are located in unconventional tight reservoirs that typically contain multiple rock types from different depositional systems. Identifying and evaluating these reservoirs is difficult. Permeability predictions are very challenging because of results reliability from different downhole tools, and also by its direct relationship on production and economic impact. This paper presents a case study that used an integrated formation evaluation approach of tight reservoir during an appraisal stage in an Algerian gas field. The workflow includes: – Petrophysical model using stochastic analysis to get shale volume, effective porosity and water saturation calculation. – Hydraulic flow unit zonation using flow zone indicator (FZI) and global hydraulic element (GHE) methods identified from core data. – Pressure transient analysis from wireline formation tester. – Mathematical phi-k relationship from core data under confining pressure. – Synthetic permeability log using previous relationships In addition to determining reservoir geomechanical properties from the micro frac operation, Synthetic permeability curve were generated in areas of the reservoir that were not core sampled. These predictions were constraint by core data analysis as well as permeability from wireline formation tester. This methodology was applied in an Ordovician tight sandstone reservoir in the South east Algerian Sahara gas field.
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