Abstract:TX 75083-3836, U.S.A., fax 01-972-952-9435.
AbstractEstimation of effective permeability at the reservoir scale has been a long standing challenge in carbonate fields. The carbonate depositional and diagenetic history can be quite complex, and this can lead to a permeability field which is quite difficult to characterize. Permeability in vuggy or fractured intervals can be dramatically different from the matrix permeability measured in core plugs. However realistic estimates of oil recovery, and optimized rese… Show more
“…The measured steady flow has about ten percent difference with the surface flow, which is the minimal amount in determining permeability. Skin effect, which has a huge impact on the permeability because this factor affect from several wells [2]. All of interpretation butterfly flow meter logs, is based on the response of flow meter, a linear function of the fluid velocity [10] in the dynamic logging also an assuming done that the fluid velocity and velocity of moving tools are allowed to collect.…”
Section: Methodology Of Workmentioning
confidence: 99%
“…Temperature is constant and flow is laminar. Software by considering these situations with Darcy equation to obtain the permeability [2].…”
Section: E = V F + V Rmentioning
confidence: 99%
“…Logarithmic graph of detection pressure to ensure that get to the radial flow period with unlimited performance before the pressure build up is applied, then the flow rate and pressure data can be analyzed by transient pressure analysis software, with this procedure an interpretation model was built that can be extrapolated the stable well flowing pressure was used ( Figure 6) [2].…”
Section: Ensure Of the Selective Inflow Pressure (Sip)mentioning
confidence: 99%
“…Therefore, recently the use of production log methods to determine the permeability was presented. Production logs suggested when the well was in steady-state and current can be considered as single-phase with the homogeneous environment [2]. This method is suitable in sandstone reservoirs, but this method used in carbonate reservoirs for progress in obtaining permeability.…”
Section: Introductionmentioning
confidence: 99%
“…In Tengiz reservoir in the West of Kazakhstan with using of production logs the volume of permeability by solving Darcy law in the different well intervals, using flow pressures and static pressure, in addition well properties, reservoir, and fluid as Input measured in throughput. Models of production log data provide reliable estimates for the injection of gas in the Tengiz platform [2]. Recently in Iran with uses of production logs to determine extra water production in Ahvaz oil field and sudden increase of pressure in the well in the Aghajari oil field have been used.…”
Permeability can be achieved by different methods. Each method has its own constraints and supplementary techniques are necessary. Using Production Logging Tools (PLT) is an appropriate means for controlling the accuracy of the permeability obtained from other techniques. In as much as in different removals of Production Logs, the tools are driven once, the exploration cost is decreased. PLT in carbonate reservoirs assumes homogeneous, single-phase flow, and steady state. The core data verify the permeability values predicted by Emeraude software. The output of the software with the results of the core, well in most areas, with the difference varied between 7 to 50%. The percentage error fractured carbonate reservoirs, is acceptable. However, in certain regions, significant differences were observed that could have been due to the assumptions made.
“…The measured steady flow has about ten percent difference with the surface flow, which is the minimal amount in determining permeability. Skin effect, which has a huge impact on the permeability because this factor affect from several wells [2]. All of interpretation butterfly flow meter logs, is based on the response of flow meter, a linear function of the fluid velocity [10] in the dynamic logging also an assuming done that the fluid velocity and velocity of moving tools are allowed to collect.…”
Section: Methodology Of Workmentioning
confidence: 99%
“…Temperature is constant and flow is laminar. Software by considering these situations with Darcy equation to obtain the permeability [2].…”
Section: E = V F + V Rmentioning
confidence: 99%
“…Logarithmic graph of detection pressure to ensure that get to the radial flow period with unlimited performance before the pressure build up is applied, then the flow rate and pressure data can be analyzed by transient pressure analysis software, with this procedure an interpretation model was built that can be extrapolated the stable well flowing pressure was used ( Figure 6) [2].…”
Section: Ensure Of the Selective Inflow Pressure (Sip)mentioning
confidence: 99%
“…Therefore, recently the use of production log methods to determine the permeability was presented. Production logs suggested when the well was in steady-state and current can be considered as single-phase with the homogeneous environment [2]. This method is suitable in sandstone reservoirs, but this method used in carbonate reservoirs for progress in obtaining permeability.…”
Section: Introductionmentioning
confidence: 99%
“…In Tengiz reservoir in the West of Kazakhstan with using of production logs the volume of permeability by solving Darcy law in the different well intervals, using flow pressures and static pressure, in addition well properties, reservoir, and fluid as Input measured in throughput. Models of production log data provide reliable estimates for the injection of gas in the Tengiz platform [2]. Recently in Iran with uses of production logs to determine extra water production in Ahvaz oil field and sudden increase of pressure in the well in the Aghajari oil field have been used.…”
Permeability can be achieved by different methods. Each method has its own constraints and supplementary techniques are necessary. Using Production Logging Tools (PLT) is an appropriate means for controlling the accuracy of the permeability obtained from other techniques. In as much as in different removals of Production Logs, the tools are driven once, the exploration cost is decreased. PLT in carbonate reservoirs assumes homogeneous, single-phase flow, and steady state. The core data verify the permeability values predicted by Emeraude software. The output of the software with the results of the core, well in most areas, with the difference varied between 7 to 50%. The percentage error fractured carbonate reservoirs, is acceptable. However, in certain regions, significant differences were observed that could have been due to the assumptions made.
The interconnectedness of a subsurface fracture system depends on five fracture and fracture set geometry characteristics: density, orientation, dimensions (height and length), connectivity and aperture. Orientation and density can be determined with some degree of accuracy but the uncertainty ranges associated with the other characteristics will be large. Calibration with dynamic indicators will bring out the hydraulic properties of the network and can help to reduce uncertainty in the geometric characteristics. The fracture network geometry in the inter-well space can be described through geostatistical analysis but more commonly it is derived from seismic data, through edge detection or the analysis and calibration of seismic velocity anisotropy attributes or curvature analysis. Geomechanical analysis is necessary to evaluate the impact on network conductivity of the changing stress state in the reservoir. Using percolation theory, a qualitative assessment can be made of how the conductivity and interconnectedness of the fracture network is developed in terms of network clusters. This integrated analysis of static and dynamic fracture data leads to the formulation of conceptual models and a set of modelling rules. A Digital (Discrete) Fracture Network model, based on these concept(s), rules and inter-well interpolation data, can then be analysed in terms of expected network cluster size, distribution and hydraulics. This provides a control on the expectations embedded in the concepts prior to dynamic modelling. The uncertainties are normally quite large and very seldom will they allow construction of the definitive fracture model. The systematic and integrated analysis of fracture network geometry, constrained with dynamic indicators and subsequent network cluster analysis, are necessary preparatory steps for construction and analysis of dynamic models.
Karachaganak Field contains hydrocarbon reservoirs of Carboniferous age with depositional patterns which are important for hydrocarbon recovery. The current phase of development drilling activity at this giant carbonate field is focused in reservoirs from a slope depositional environment having distinct clinoform progradational geometry. Production history has shown that the geometry and reservoir characteristics of these deposits significantly impact hydrocarbon recovery. Development wells are designed and completed to maximize recovery from this progradational system. The current phase of development at Karachaganak consists of drilling sub-horizontal wells to access reserves on the flanks of the carbonate build-up.
Clinoforms have been previously recognized at Karachaganak, and we have integrated new subsurface data to gain insights into the nature of these slope deposits. A recent 3D pre-stack depth migration (PSDM) of seismic data has been integrated with new log and dynamic data to provide an improved image of the internal geometry of the reservoir. Wireline logs and core data from new wells has been integrated with production logging and well pressure data to reveal the presence of distinct pressure compartments separated by tight intervals or baffles. A dedicated campaign of pressure data acquisition in sub-horizontal wells has been ongoing since 2015 to improve the geological understanding and unravel the dynamic behavior of Karachaganak prograding slope deposits. Continuous core has been collected in two recent Karachaganak wells to gain insights into the reservoir facies and slope depositional/diagenetic processes.
Integration of seismic, core, and wireline data along with dynamic data has improved the characterization of the Karachaganak reservoir architecture and has provided a sound basis for field development decisions. Pressure data in wells show the presence of partially connected geological compartments (geo-bodies) in the prograding Carboniferous deposits. These geo-bodies contain slope deposits with volumes of redeposited microbial boundstone breccia and in-situ boundstone. They are separated by tight intervals which create partial pressure barriers during field development. Tight and cemented intervals are formed during a depositional hiatus of the prograding system, and are sometimes associated with the presence of grainy material derived from the platform top. The geometry of the cemented zone is an inclined surface which follows the slope of the progradational depositional system. This sloping depositional surface is referred to as a clinoform surface.
Understanding the geometry of prograding deposits and the associated diagenetic alteration at Karachaganak has led to improved understanding of the reservoir connectivity. Clinoform surfaces have been mapped and related pressure baffles have been included in the current reservoir model. These pressure baffles have improved the calibration and "history match" process and have improved the reliability of predictions from the dynamic model. The development strategy has been optimized with 1200 meter long sub-horizontal wells oriented perpendicular to the paleo-slope direction of the carbonate build-up, allowing the well to access multiple clinoform compartments for improved hydrocarbon recovery. Karachaganak sub-horizontal wells use a multistage completion for selective stimulation. Karachaganak Petroleum Operating b.v. (KPO b.v.) joint-venture is acquiring new reservoir data to provide further insights into the complex dynamic behavior of the field and further optimize reservoir management activities.
World-wide many carbonate reservoirs have known or suspected prograding geometry. These may benefit from the reservoir characterization and field development experience matured in Karachaganak Field. The Permian Capitan Reef of Texas and New Mexico, USA, the Triassic Dolomites in the Southern Alps of Italy, and the Devonian reefs of the Canning Basin in Northern Western Australia represent examples of outcrop analogues in terms of sedimentology and depositional geometries.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.