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Drilling horizontal wells in mature fields undergoing enhanced oil recovery programs requires advanced high-resolution reservoir mapping to optimise well placement. Ultra-deep electromagnetic (EM) technology provides shallow and deep 1D and 3D inversion-based mapping in real-time and recorded data. All inversion results show uncertainty in the exact position of formation/fluid boundaries and inverted resistivity values. Understanding this uncertainty and deploying multiple inversions to mitigate it is essential for attaining high confidence in the quality of results. Multi-antenna, azimuthal EM LWD tools propagate EM fields in three dimensions with an ultra-deep depth of investigation (DOI). Robust inversion algorithms both one dimensional (1D) and three dimensional (3D) derive the position and resistivity of formations within the DOI from measurements induced by the propagated fields. This provides geologists with a clearer understanding of the surrounding geology. High confidence in these results, which are models that best represent the EM field is essential. It is vital to understand any uncertainty and where possible use independent verification. Pre-drill modelling provides understanding of the expected response in each formation. Offset data and independent LWD tools provide independent verification of results but have limited DOI's. An understanding of inversion uncertainty is essential to assess quality of the inversions and allow confident geosteering decisions to be made. Pre-drill modeling for a candidate field onshore Abu Dhabi demonstrated the capability of resolving multiple formation layers, with a DOI of more than 90ft. Uncertainty is therefore important as other LWD tools have limited DOI's and can only be used to verify results close to the wellbore. The field trail results exceeded pre-drill expectations, clearly identifying resistivity boundaries, consistent with offset logs. While drilling, the real-time ultra-deep EM tool provided high resolution mapping for precise geosteering within thin layers and mapped a varying water slumping contact 80 ft TVD above the wellbore. A simultaneous 3D EM inversion with 120 ft distance-to-boundary window also imaged the water-front and confirmed that no lateral variation existed in its orientation, it also defined the azimuth, dip and strike of a fault. Confidence in these results was essential as the real-time information helped in timely optimizing completion design to produce oil without water cut and extend the wells production life. Understanding boundary position and resistivity value uncertainty provided confidence in the quality of the results. Post-well these results aided in updating the static model with water flood areas, reservoir tops, faults and overall reservoir structure. The results of this experience provided optimized BHA selection and maximize the benefits of running ultra-deep EM mapping tool in mature fields for multiple purposes; deep reservoir fluid mapping, multi-layered mapping and geosteering within thinner target reservoir units. The confidence in the results allowed important and timely decisions to optimize well position and maximized the hydrocarbon-bearing reservoir contact without exiting.
Drilling horizontal wells in mature fields undergoing enhanced oil recovery programs requires advanced high-resolution reservoir mapping to optimise well placement. Ultra-deep electromagnetic (EM) technology provides shallow and deep 1D and 3D inversion-based mapping in real-time and recorded data. All inversion results show uncertainty in the exact position of formation/fluid boundaries and inverted resistivity values. Understanding this uncertainty and deploying multiple inversions to mitigate it is essential for attaining high confidence in the quality of results. Multi-antenna, azimuthal EM LWD tools propagate EM fields in three dimensions with an ultra-deep depth of investigation (DOI). Robust inversion algorithms both one dimensional (1D) and three dimensional (3D) derive the position and resistivity of formations within the DOI from measurements induced by the propagated fields. This provides geologists with a clearer understanding of the surrounding geology. High confidence in these results, which are models that best represent the EM field is essential. It is vital to understand any uncertainty and where possible use independent verification. Pre-drill modelling provides understanding of the expected response in each formation. Offset data and independent LWD tools provide independent verification of results but have limited DOI's. An understanding of inversion uncertainty is essential to assess quality of the inversions and allow confident geosteering decisions to be made. Pre-drill modeling for a candidate field onshore Abu Dhabi demonstrated the capability of resolving multiple formation layers, with a DOI of more than 90ft. Uncertainty is therefore important as other LWD tools have limited DOI's and can only be used to verify results close to the wellbore. The field trail results exceeded pre-drill expectations, clearly identifying resistivity boundaries, consistent with offset logs. While drilling, the real-time ultra-deep EM tool provided high resolution mapping for precise geosteering within thin layers and mapped a varying water slumping contact 80 ft TVD above the wellbore. A simultaneous 3D EM inversion with 120 ft distance-to-boundary window also imaged the water-front and confirmed that no lateral variation existed in its orientation, it also defined the azimuth, dip and strike of a fault. Confidence in these results was essential as the real-time information helped in timely optimizing completion design to produce oil without water cut and extend the wells production life. Understanding boundary position and resistivity value uncertainty provided confidence in the quality of the results. Post-well these results aided in updating the static model with water flood areas, reservoir tops, faults and overall reservoir structure. The results of this experience provided optimized BHA selection and maximize the benefits of running ultra-deep EM mapping tool in mature fields for multiple purposes; deep reservoir fluid mapping, multi-layered mapping and geosteering within thinner target reservoir units. The confidence in the results allowed important and timely decisions to optimize well position and maximized the hydrocarbon-bearing reservoir contact without exiting.
Understanding the geological setting and architecture in which a well is drilled is key to achieving optimal well placement, enhancing reservoir production and for future reservoir exploitation with the planning of additional wells. The planning of production wells is accomplished using different data sets with different resolutions, but understanding the subsurface geology is key to linking the data sources. During drilling operations LWD tools, which have greater resolution than seismic, are deployed to aid in decision making and optimise well placement. Focusing on the data sources in isolation can lead to successful wells, but placing this data in a geological context allows for more sophisticated decision making and leads to greater reservoir understanding for improved reservoir exploitation. Key to linking the near wellbore measurements with the geological models derived from seismic interpretation are ultra-deep electromagnetic (EM) tools. Applying geophysical inversion processes to the ultra-deep resistivity data generates models that enhance the reservoir interpretation. Formation boundary identification and definition of thin layers in the vertical plane can be achieved with 1D EM inversion. Combining these results with a Gauss-Newton-based 3D inversion provides better identification of the reservoir lateral variability. Recently the introduction of inverting the 3D EM inversion for anisotropy as well as resistivity, permits the identification of isotropic and anisotropic intervals allowing lithological and fluid identification at greater distances from the borehole. The geological models derived from the inversion data can provide a good representation of the subsurface but are more useful for decision making when correlated with other LWD data and azimuthal images, for example density and gamma ray. These tools have a much shallower range of detection but provide more detail which can be critical when placed in its geological context. Combining all available technologies to improve reservoir understanding of different depositional environments is a more effective approach. Interpretation of the 1D, 3D and 3D anisotropy inversions both allows identification of complex oil water contacts which is vital for hydrocarbon reserves calculation and in certain environments, identification of intra-reservoir thin shale layers that can act as a baffle of fluid movement. Refining these models with the information available from density/neutron, gamma and deep EM data provides a greater level of detail which can also play an important role in the completion design process. The improved reservoir understanding derived when combining the interpretation of these diverse methodologies can provide a better understanding of the geological scenarios and allows the identification of elements that play a role in well and field production. Identifying these trends during the drilling operations allows for both optimization of the well placement and completion installation. Further analysis post well allows improved reservoir exploitation and planning of new wells.
This paper evaluates a new ultra-deep azimuthal resistivity (UDAR) inversion model in the context of transition zones above fluid contacts, these are common in gradational resistivity settings and typically cause difficulty with previous inversion models. The new inversion model is applied to oil-water contact mapping from within a thin oil column, and the results are verified against conventional methods for oil-water contact determination. A new gradient-based enhanced focus UDAR inversion model allows for model layers with continuously sloped resistivity profiles. Previously, approximation using multiple layers with discrete resistivity steps was required to model formations without sharply contrasting boundaries, as in transition zones above fluid contacts. We compare the performance of previous and new inversion models using real data from an extensively drilled sandstone reservoir with stepped or tilted gas/oil and oil/water contacts. The new UDAR inversion model is applied to map the oil-water contact across the entire structure, which is then compared with proven depths in exploration and geopilot wellbores. The new inversion model improves UDAR imaging of the Gekko reservoir of the Alvheim area in Norway, allowing for geosteering of nine horizontal wellbores within a thin oil column to maximize oil and gas recovery. The reservoir is comprised of stacked turbiditic sandstones ranging in configuration from thick and homogenous to complexly layered sands between shale sequences. The application of an enhanced focus inversion is shown to better define both subsurface geology and oil-water contacts than the previous inversion model. This allows more confident differentiation of the oil-water contact from shale beds. The oil/water contact derived from UDAR imaging is found to closely match results from formation pressure gradient analysis and contact penetrations in nearby wellbores. Confident mapping of the oil-water contact reveals it has an uneven tilt across the structure. This paper demonstrates how a new inversion model improves UDAR imaging in a gradational resistivity setting. It presents data that practicing engineers can use to evaluate its performance and limitations and demonstrates the capability to confidently map unevenly tilted oil-water contacts in homogenous oil-bearing reservoirs from within the transition zone.
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