ACOUSTIC MULTI-MODALITY INVERSION FOR CEMENT INTEGRITY ANALYSIS
    2.
    发明申请
    ACOUSTIC MULTI-MODALITY INVERSION FOR CEMENT INTEGRITY ANALYSIS 审中-公开
    用于水泥整体分析的声学多模态反演

    公开(公告)号:US20150219780A1

    公开(公告)日:2015-08-06

    申请号:US14170427

    申请日:2014-01-31

    CPC classification number: E21B49/003 E21B47/0005 E21B47/14 G01V1/50

    Abstract: Apparatus and method for characterizing a barrier installed in a borehole traversing a formation including locating an acoustic tool with a receiver and a transmitter at a location in the borehole, activating the acoustic tool to form acoustic waveforms, wherein the receiver records the acoustic waveforms, and processing the waveforms to identify barrier parameters as a function of azimuth and depth along the borehole, wherein the waveforms comprise at least two of sonic signals, ultrasonic pulse-echo signals, and ultrasonic pitch-catch signals.

    Abstract translation: 用于表征安装在穿过地层的井眼中的屏障的装置和方法,包括在井眼中的位置处定位具有接收器和发射器的声学工具,激活声学工具以形成声波形,其中接收器记录声波形,以及 处理波形以识别作为沿着钻孔的方位角和深度的函数的屏障参数,其中波形包括声音信号,超声波脉冲回波信号和超声俯仰捕获信号中的至少两个。

    EVALUATING CASING CEMENT USING AUTOMATED DETECTION OF CLINGING COMPRESSION WAVE (P) ARRIVALS

    公开(公告)号:US20210032973A1

    公开(公告)日:2021-02-04

    申请号:US17046967

    申请日:2019-04-12

    Abstract: Cement in a wellbore is evaluated by using cement evaluation tools to obtain ultrasonic image information and flexural wave image information. Flexural wave imager waveforms are applied to a trained machine learning system that predicts the presence or lack thereof of a clinging P as a function of depth and azimuth, while the ultrasonic imager impedance maps are applied to a trained machine learning system that identifies galaxy patterns for depths and azimuths, indicating the presence of a third interface echo (TIE) close to the casing. Locations of clinging Ps are compared to locations of galaxy patterns to identify when a TIE could cause a false clinging P determination. Where a disambiguated clinging P is found, contaminated cement is identified that may also locate the top of the cement in the annulus.

    DETECTION AND CHARACTERIZATION OF THIN WEAK BEDDING PLANES IN HYDROCARBON-BEARING LAMINATED FORMATIONS

    公开(公告)号:US20180306751A1

    公开(公告)日:2018-10-25

    申请号:US15765460

    申请日:2016-09-30

    Inventor: Smaine ZEROUG

    Abstract: Methods are provided for making, processing, and analyzing in situ measurements to indicate presence of thin bedding planes of weakness in a formation. Bedding planes as small as a few inches and smaller are identified using an ultrasonic borehole tool. In one embodiment, detected pseudo-Rayleigh waveforms are processed to determine whether multiple events are detected. If so, lamination and a likely bedding plane of weakness are identified. In another embodiment, a sonic borehole tool is run in conjunction with the ultrasonic borehole tool. Indications of shear and pseudo-shear wave speeds are compared, and where different, a bedding plane of weakness is identified. In another embodiment, a microresistivity imager is run with the ultrasonic borehole tool, and at locations where multiple events are not detected, the image obtained by the imager is inspected to find locations of sharp contrast with adjacent locations to thereby identify bedding planes of weakness.

    METHOD FOR ANALYZING CEMENT INTEGRITY IN CASED WELLS USING SONIC LOGGING

    公开(公告)号:US20180156759A1

    公开(公告)日:2018-06-07

    申请号:US15575108

    申请日:2016-05-18

    Abstract: Methods are provided for identifying a cementation status of a multi-string cased wellbore utilizing sonic tools with monopole and/or dipole transmitters and with an array of sonic receivers axially displaced from the transmitter(s). The sonic tool is used to record waveforms. The waveforms are then processed to generate slowness and/or attenuation dispersions. The slowness and/or attenuation dispersions are projected onto a slowness and/or attenuation axis, and the results are compared to a data set of projected slowness and/or attenuation dispersions representing a plurality of different multi-string cased wellbore cement status scenarios in order to select the scenario most closely associated with the results. The presence or lack of eccentering of a casing is similarly obtained where the data set includes projected dispersions representing properly centered and ec-centered casings.

    METHODS FOR CHARACTERIZING AND EVALUATING WELL INTEGRITY USING UNSUPERVISED MACHINE LEARNING OF ACOUSTIC DATA

    公开(公告)号:US20210270127A1

    公开(公告)日:2021-09-02

    申请号:US16973059

    申请日:2019-06-06

    Abstract: Methods and systems are provided that characterize and evaluate well integrity of a cased well using unsupervised machine learning of acoustic data. Sonic waveform data generated by the receiver array of a sonic logging tool is collected and processed to determine a high-dimensional representation of the sonic waveform data. The high-dimensional representation is input to an unsupervised machine learning system to determine a low-dimensional representation of the sonic waveform data. A clustering method is applied to the low-dimensional representation to identify a set of clusters therein. At least one well integrity property of the depth interval of the cased well is determined based on the set of clusters. In embodiments, the at least one well integrity property can characterize cement condition in an annulus of the cased well as a function of azimuth and depth and can be used to evaluate cement integrity in a depth interval of the cased well.

    ESTIMATION OF HORIZONTAL STRESSES AND NONLINEAR CONSTANTS IN ANISOTROPIC FORMATIONS SUCH AS INTERBEDDED CARBONATE LAYERS IN ORGANIC-SHALE RESERVOIRS

    公开(公告)号:US20190330981A1

    公开(公告)日:2019-10-31

    申请号:US16306688

    申请日:2017-05-31

    Abstract: Methods and systems are provided that identify relatively large anisotropic horizontal stresses in a formation based on (i) azimuthal variations in the compressional and shear slownesses or velocities of the formation measured from ultrasonic data acquired by at least one acoustic logging tool as well as (ii) cross-dipole dispersions of the formation measured from sonic data acquired by the at least one acoustic logging tool. In addition, the azimuthal variations in the compressional and shear slownesses or velocities of the formation and dipole flexural dispersions of the formation can be jointly inverted to obtain the elastic properties of the rock of the formation in terms of linear and nonlinear constants and the magnitude of maximum horizontal stress of the formation. A workflow for estimating the magnitude of the maximum horizontal stress can employ estimates of certain formation properties, such as overburden stress, magnitude of minimum horizontal stress, and pore pressure.

    METHOD FOR ANALYZING CEMENT INTEGRITY IN CASING STRINGS USING MACHINE LEARNING

    公开(公告)号:US20180149019A1

    公开(公告)日:2018-05-31

    申请号:US15575024

    申请日:2016-05-18

    Abstract: The present disclosure provides methods and systems for analyzing cement integrity in a depth interval of a wellbore having a multiple string casing with an innermost annulus disposed inside at least one outer annulus. The method includes processing ultrasonic data obtained from ultrasonic measurements on the interval of the wellbore to determine properties of the innermost annulus. The method also includes processing sonic data obtained from sonic measurements on the interval of the wellbore to extract features of the sonic data. The features of the sonic data are input to a machine learning processing to determine properties of both the innermost annulus and the least one outer annulus. Additional processing of ultrasonic and sonic data can also be used to determine properties of both the innermost annulus and the least one outer annulus. These properties can be used to analyze cement integrity in the depth interval of the wellbore.

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