Schlumberger Technology Corporation

Services Petroliers Schlumberger

Schlumberger Holdings Limited

Christoph Klieber

Mikhail Lemarenko

Thilo Michael Brill

Andrew J Hayman

Jean-Luc Le Calvez

Sylvain Thierry

Sandip Bose

Smaine Zeroug

David Linton Johnson

Ralph Michael D'Angelo

Bertrand Du Castel

Kenneth William Winkler

Martin G Lüling

Mikhall Lemaranko

Systems and methods are provided for obtaining a flexural-attenuation measurement for cement evaluation that may be effective even for wells with relatively thick casings. A method includes emitting an acoustic signal at a casing in a well that excites the casing into generating an acoustic response signal containing acoustic waves, such as Lamb waves. The Lamb waves include flexural waves and extensional waves. The casing may be relatively large, having a thickness of at least 16 mm. The acoustic response signal may be detected and filtered to reduce a relative contribution of the extensional waves. This may correspondingly increase a relative contribution of the flexural waves. The filtered acoustic response signal may be used as a flexural-attenuation measurement for cement evaluation.

Flexural wave measurement for thick casings

A downhole tool system may include a Stoneley wave emitter, located in a downhole tool, designed to emit Stoneley waves into a borehole. The downhole tool system may include one or more Stoneley wave sensors, located in the downhole tool, and a processor. The processor may be designed to receive signals from the one or more Stoneley wave sensors based on the detection of the Stoneley waves. The processor may use the signals to obtain a temporal measurement of the Stoneley waves. Based at least in part on the temporal measurement, the processor may calculate a distance from the downhole tool or a bottom-hole assembly to the bottom of the borehole.

Systems and methods for using Stoneley waves for bottom-hole proximity detection

Acoustic imaging waveforms are measured utilizing a downhole acoustic tool within a wellbore, and then aligned relative to a main echo of each waveform. The aligned waveforms are then subjected to a first low-pass filter. Residuals are extracted by determining differences between the aligned waveforms and the filtered waveforms. The residuals are aligned to corresponding acoustic firing pulses of the downhole acoustic tool. The aligned residuals are subjected to a second low-pass filter. The measured waveforms are aligned to the corresponding acoustic firing pulses. Noise associated with the downhole acoustic tool is removed from the pulse-aligned, measured waveforms utilizing the filtered residuals.

Coherent noise reduction in ultrasonic data

Techniques involve obtaining acoustic data (including waves reflected from the casing, the annular fill material, the formation, and/or interfaces between any of the mud, the casing, and the annular fill material) from an acoustic logging tool. Techniques include normalizing the acoustic wave to result in a normalized wave having a comparable spectral shape with a reference wave, and comparing the normalized wave with the reference wave. The reference wave may be generated or modeled or produced from a look-up table or database, and may be estimated based on initial estimates of wellbore parameters. Based on the comparison of the normalized wave with the reference wave, a best-fit reference wave substantially matching the normalized wave may be identified. The best-fit reference wave may correspond with a thickness of the casing, an acoustic impedance of the annular fill material, and an acoustic impedance of mud.

Resonance-based inversion of acoustic impedance of annulus behind casing

A method of determining properties of a wellbore in a formation includes obtaining from the acoustic logging tool, acoustic data comprising an acoustic wave reflected from the casing, the annular fill material, one or more interfaces between any of the mud, the casing, and the annular fill material, or combinations thereof. The method includes normalizing the acoustic wave in a frequency domain, resulting in a specular spectrum and removing spectral noise outside a region of interest in the specular spectrum. The method includes shaping the specular spectrum around a resonance frequency, converting the shaped specular spectrum into a time domain, resulting in a renormalized waveform, and subtracting from the renormalized waveform one or more of a specular noise, second interface echoes, resulting in a third interface echo signal.

Techniques for removing interface noise from acoustic log data

Methods and systems for identifying and locating fractures within a wellbore are described herein. One such method includes generating an acoustic wave. At least a first portion of the acoustic wave travels along a wall of the wellbore. The first portion of the acoustic wave interacts with a feature on the wall of the wellbore, such as a fracture, and generates a second acoustic wave. The second acoustic wave is detected to obtain acoustic data. A chevron pattern is identified within the acoustic data and a location for the feature is determined using the identified chevron pattern.

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Clamart, France

Christoph Klieber