3D earth models reveal a reservoir’s true structures, allowing for informed geosteering decisions and accurate well placement
Optimal well placement requires three-dimensional (3D) spatial knowledge of the reservoir formation and fluids. Current one-dimensional (1D) inversions of ultra-deep azimuthal resistivity logging-while-drilling (LWD) data recover formation boundaries above and below the wellbore, which are stitched together to form pseudo-2D models (or “curtain plots”) along the wellbore. However, 1D modeling, by definition, does not account for any lateral variations due to changes in formation dip, lithology, or fluid saturations, such that any actual 2D or 3D variations manifest ambiguously as artifacts or distortions in the pseudo-2D models. These lateral variations can have a significant impact on well placement and subsequent production-related decisions, such as where a change in well azimuth could be more beneficial than a change in inclination during drilling. An accurate and computationally efficient full 3D inversion of ultra-deep azimuthal resistivity LWD data, capable of capturing arbitrary and multi-scale reservoir complexity, would yield 3D earth models that could provide as-yet-unrealized insight for reservoir characterization and well placement.
This paper presents the industry’s first such 3D inversion of ultra-deep azimuthal resistivity LWD data. The case study describes a complex reservoir with significant sub-seismic faulting and a long history of water injection, resulting in significant fluid substitution within the reservoir formations. The complexities in this reservoir make it both an ideal candidate and a difficult, yet critical, first test to prove the value of 3D inversion. In a well where major faults crossed the well path at an oblique angle, in a zone affected by complex water flooding, the resistivity boundaries indicated by 1D inversions alone did not adequately explain the reservoir state. Analysis of density image data confirmed that the faults crossed by the well were both oblique (i.e. nonperpendicular to the well path) and tilted in the vertical plane. Several of these structures acted as a barrier to the migration of fluids and showed a sharp resistivity boundary from oil to water. This enabled mapping of the resistivity boundaries distant from the well path using ultra-deep resistivity LWD data. Combining the information from these tools with the four-dimensional (4D) seismic data enabled validation of the 3D inversion.
The 1D inversion yielded valuable information to assist in well placement, but the 3D inversion provided significantly more insights, which will directly affect future reservoir-characterization and well-placement operations. It is very clear from the 3D inversion that a tilted oil-water contact near the heel of the well results in horizontal, as well as vertical, changes in the fluid distribution, such that an azimuthal adjustment of the well path would have resulted in significantly greater reservoir exposure. Faults separating zones of water invasion, which crossed the well at an oblique angle, are clearly visible, indicating the position of the oil-water contact a significant lateral distance from the wellbore, which is vital information when determining how to complete the well and predict future production.
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SPWLA 60th Annual Logging Symposium, 15-19 June, The Woodlands, Texas, USA
Authors: Nigel Clegg (Halliburton) | Timothy Parker (Halliburton) | Bronwyn Djefel (Halliburton) | Luc Monteilhet (ConocoPhillips) | David Marchant (Computational Geosciences Ltd.)