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SPE Digital Energy Conference | 2013

Workflow to Automatically Update Geological Models during Well Placement with High Angle and Horizontal Well Log Interpretation Results

Dzevat Omeragic; Valery Polyakov; Sushil Shetty; Benoit Brot; Tarek M. Habashy; Tor Livar Flugsrud

We present a novel methodology for integration of high-angle/horizontal (HA/HZ) well data into 3D geomodels as a natural extension to well placement workflows. Log interpretation, typically done in 2D cross-sections, is based on 1-D automated inversion, yielding near-wellbore reservoir structure and properties. 2D cross-section, updated by inversion and further refined using 2D/3D modeling, is subsequently retrofitted into the geomodel so as to minimally perturb the original topology. Changes in positions/dips/azimuths of boundaries and faults, cell properties, and further local grid refinements are applied automatically. The updated geomodel honors high-resolution logs and low-resolution seismic/nearby wells data. We demonstrate this on a typical real-time well placement scenario. Electromagnetic log interpretation codes are integrated as a high performance computing (HPC) Web service into a geosteering/model update workflow. As the initial model, we use 3D geomodel constructed from seismic/vertical well data. A ―curtain‖ cross-section is extracted, edited based on 1D inversion, and further refined to match HA/HZ logs through 2D and 3D forward modeling, by changing properties/dips/layer thicknesses /fault positions, while preserving the original topology. Then, updated node coordinates and cell properties of the affected pillar grid region are calculated to optimally retrofit the changed 2D cross-section into the grid. These changes are then automatically applied to the 3D model. For quality control, we recompute the 2D cross-section from the refined geomodel. Ultimately, we arrive at the geomodel that honors both seismic and resistivity well-log data. The combination, in a single workflow, of physics-based log modeling codes, Services-Oriented Architecture, HPC framework, and the solver to optimally retrofit 2D cross-sections into 3D models, creates a qualitatively new opportunity for well placement engineers. This integrated workflow (1) maximizes the value of deep directional resistivity well-logs and real-time well placement interpretation by incorporating them into the source of data for building geomodels; (2) radically speeds up the model refinement loop by automatically calculating and applying the modifications to 3D reservoir model; (3) enables geoscientists to directly refine geomodels while geosteering. The latter has not been a standard practice, hindered by challenges of scale difference between geomodels and well-logs and lack of availability of efficient modeling codes.


Archive | 2012

INVERSION-BASED WORKFLOW FOR PROCESSING NUCLEAR DENSITY IMAGES IN HIGH-ANGLE AND HORIZONTAL WELLS

Sushil Shetty; Dzevat Omeragic; Tarek M. Habashy; John Rasmus; Jeffrey Miles


SPWLA 53rd Annual Logging Symposium | 2012

Inversion-Based Workflows For Interpretation Of Nuclear Density Images In High-Angle And Horizontal Wells

Sushil Shetty; Dzevat Omeragic; Tarek M. Habashy; Jeffrey Miles; John Rasmus; Roger Griffiths; Chris Morriss


SPWLA 55th Annual Logging Symposium | 2014

Improved Consistency of Inversion-Based Interpretation of LWD Density Images in Complex Horizontal Well Scenarios

Hui Xie; Dzevat Omeragic; Sushil Shetty; Tarek M. Habashy; Jeffrey Miles; John Rasmus; Roger Griffiths; Chris Morriss; Edward J. Stockhausen


Spe Reservoir Evaluation & Engineering | 2016

Imaging Radial Distribution of Water Saturation and Porosity Near the Wellbore by Joint Inversion of Sonic and Resistivity Logging Data

Sushil Shetty; Lin Liang; Tarek M. Habashy; Vanessa Simoes; Austin Boyd; Bikash K. Sinha; Smaine Zeroug; Clive Sirju; Tim Pritchard; Brent Glassborrow


Archive | 2015

AUTOMATIC METHOD FOR THREE-DIMENSIONAL STRUCTURAL INTERPRETATION OF BOREHOLE IMAGES ACQUIRED IN HIGH-ANGLE AND HORIZONTAL WELLS

Sushil Shetty; John Rasmus; Christopher E. Morriss; Koji Ito; Shahzad Asif; Vittorio Picco


SPWLA 52nd Annual Logging Symposium | 2011

Integration Of Well Logs And Reservoir Geomodels For Formation Evaluation In High-Angle And Horizontal Wells

Dzevat Omeragic; Valery Polyakov; Sushil Shetty; Benoit Brot; Tarek M. Habashy; Arathi Mahesh; Torsten Friedel; Jean-Michel Denichou


SPWLA 59th Annual Logging Symposium | 2018

New Multiphysics, Multiscale Inversion for Imaging Petrophysical Properties in Anisotropic, Laminated Formations

Sushil Shetty; Lin Liang; Qiwei Zhan; Vanessa Simoes; Fabio Canesin; Austin Boyd; Smaine Zeroug; Bikash K. Sinha; Tarek M. Habashy; Manu Singhal; Ana Beatriz Guedes; Claudia Amorim; Frances Abbots


SPE Annual Technical Conference and Exhibition | 2017

New Multisensor Inversion Technology for Imaging Near-Wellbore Petrophysical Properties from Resistivity, Sonic, and Density Data

Sushil Shetty; Lin Liang; Vanessa Simoes; Fabio Canesin; Austin Boyd; Smaine Zeroug; Bikash K. Sinha; Tarek M. Habashy; Ana Beatriz Domingues; Claudia Amorim; Frances Abbots


Petrophysics | 2017

Imaging Near-Wellbore Petrophysical Properties by Joint Inversion of Sonic, Resistivity, and Density Logging Data

Sushil Shetty; Lin Liang; Vanessa Simoes; Fabio Canesin; Austin Boyd; Smaine Zeroug; Bikash K. Sinha; Tarek M. Habashy; Ana Beatriz Domingues; Claudia Amorim; Frances Abbots

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Tarek M. Habashy

Massachusetts Institute of Technology

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Dzevat Omeragic

Schlumberger Oilfield Services

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