Sonic Scanner Acoustic Scanning Platform

Exclusive insight from 3D acoustic characterization for geomechanics, geophysics, and fracture evaluation

The multiple monopole and dipole transmitters of the Sonic Scanner platform produce compressional, shear, and Stoneley waveforms of unprecedented quality in either open or cased hole for radial profiling and numerous applications.

3D far-field sonic service

For modeling fractured reservoir or conducting structural analysis, 3D far-field sonic service rapidly provides the true dip and azimuth of fractures and formation layers located well beyond the reach of standard sonic logging. The service determines connectivity for open fractures and identifies subseismic structural features, tracing them from the borehole wall through the near-field and far-field reservoir. Applying 3D far-field sonic service for active acoustic ranging locates lost wellbores—both open and cased—for relief well planning or collision avoidance.

Expedited acquisition, processing, and interpretation

A single logging pass of the Sonic Scanner platform configured for acquisition with enhanced telemetry acquires 3D far-field and standard sonic data at up to 3× the speed of conventional sonic logging. Data acquired from the eight azimuthal receivers at each of the platform’s 13 stations provide both monopole and dipole waveforms to respectively enhance resolution and deepen the depth of investigation.

The service’s efficiency continues through the automated processing and interpretation workflow, which delivers consistent, precise quantitative results up to 10× faster than conventional processing. The smart migration workflow directly associates each quantified event to features in the sonic image. Quality control is significantly improved while avoiding the bias that can be introduced by manual interpretation.

Product sheet

3D Far-Field Sonic Service

Case studies

3D Far-Field Sonic Service Acoustically Confirms Well Locations in Salt, Gulf of Mexico

3D Far-Field Sonic and Borehole Imaging Confirm Fault in Lieu of Seismic Data

Applications for Sonic Scanner platform

Drilling design—Integrating data from acoustic measurements with wellbore images and reservoir testing, estimated pore pressures, stress magnitudes, and the fracture gradient refines the mud-weight window to avoid future drilling challenges. Layered shales and fractured formations are readily identifiable to enable drillers to better maintain wellbore stability.

Stimulation design—Properly contained hydraulic fractures are designed by using continuous stress profiles based on acoustic measurements because they account for shale layering and differential stress. The accuracy of stress profiles is honed by calibration with dual-packer stress tests and maps of wellbore failure occurrences from breakouts and induced fractures.

Completion design—Quantification of anisotropy in rock mechanical properties and determination of the maximum horizontal stress guide completion design for achieving optimal production, especially in highly deviated or horizontal wells accessing unconventional reservoirs or where sanding is a concern. Measurement of the extent of the alteration zone and damage effects is used to calculate the necessary perforation penetration, and achieving uniformity in perforation performance is based on understanding stress anisotropy.

Fracture evaluation—Distinguishing drilling-induced from natural fractures and using shear wave anisotropy and Stoneley wave data in conjunction with images to identify existing fractures as open or closed are important considerations for designing completions, targeting hydraulic fracturing, and maximizing production.

Seismic velocity modeling—Well velocity calibration accounts for shale layering and stress anisotropy to refine the time-depth conversion for more accurate analysis, tie-ins, and use in applications such as seismic inversion.

Microseismic modeling—Simulating complex fracture networks relies on calibration based on acoustic measurements for differential stress, geomechanical strain, and any existing discrete fracture networks.

Rock physics evaluation—Sonic Scanner platform logging can be used to relate physical rock properties to seismic data to improve the value of data in modeling.

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Anisotropy Parameters from Borehole Sonic Guide Seismic Velocity Model

Consistent Anisotropy Parameters from Borehole Seismic
Efficient derivation of TI parameters from borehole sonic data improves the seismic velocity model and confidence in the resulting subsurface images.

Integrated Sonic and Imaging Mitigates Sanding Risk

Integrated Sonic and Imaging Mitigates Sanding Risk
Borehole images indicated incipient breakouts consistent with the sonic analysis.

Axial, Azimuthal, and Radial Data

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Learn more about the logging theory behind the Sonic Scanner platform in addition to its applications, tool configuration, and case studies.
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