DETECTION AND CORRECTION OF FALSE POSITIVE CLASSIFICATIONS FROM A PRODUCT SAND DETECTION TOOL

    公开(公告)号:US20240418078A1

    公开(公告)日:2024-12-19

    申请号:US18714978

    申请日:2023-01-24

    Abstract: Methods, computing systems, and machine-readable media for detecting downhole sand entry points are provided. A computing device receives a sand detection output of a product sand detection tool and a raw timeseries waveform corresponding to an input to the product sand detection tool. Based on the sand detection output, at least one downhole sand entry point is detected at a logging depth. In response to the detecting of the at least one downhole sand entry point. the computing device extracts a subset of features based on the raw timeseries waveform. The computing device determines whether the detecting is a true positive or a false positive based on the extracted subset of the features and a trained Random Forest classifier. A remedial action is performed regarding the at least one downhole sand entry point responsive to the determining that the detecting is the true positive.

    Method for Estimating a Logging Tool Response in a Layered Formation
    7.
    发明申请
    Method for Estimating a Logging Tool Response in a Layered Formation 有权
    估算分层形成记录工具响应的方法

    公开(公告)号:US20150073712A1

    公开(公告)日:2015-03-12

    申请号:US14458254

    申请日:2014-08-13

    CPC classification number: G01V99/005 G01V3/02 G01V3/30

    Abstract: A logging method and a logging tool for approximating a logging tool response in a layered formation are provided. The method includes obtaining a first layered profile of at least one first measurement log provided by a logging tool using a squaring process, obtaining a filtered measurement log from the first layered profile using a forward physical model for the logging tool, and estimating an approximation of the forward physical model using a parameterized function so as to provide a first logging tool response.

    Abstract translation: 提供了一种记录方法和用于近似分层结构中测井工具响应的测井工具。 该方法包括使用平均处理获得由测井工具提供的至少一个第一测量日志的第一分层轮廓,使用用于测井工具的前向物理模型从第一分层轮廓获得经滤波的测量日志,以及估计 前向物理模型使用参数化函数来提供第一测井工具响应。

    WELLBORE PLANNING SYSTEMS AND METHODS

    公开(公告)号:US20220397027A1

    公开(公告)日:2022-12-15

    申请号:US17661943

    申请日:2022-05-04

    Abstract: Planning a wellbore includes determining drillability values from surface drilling parameters for an offset wellbore. The drillability values are used to prepare a protein code sequence of protein codes assigned to a range of drillability values. The protein code sequence from the offset wellbore is used to develop a protein code sequence for a planned wellbore. A machine learning model analyzes the offset surface drilling parameters and protein code sequence, and provides target surface drilling parameters for the planned wellbore.

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