Schlumberger Technology Corporation

Thanh Nhan Nguyen

Josselin Kherroubi

Vassilis Varveropoulos

Thomas Barrou

Clement Laplane

Kamaljeet Singh

Salma Benslimane

Weijia Du

Kristina Prokopetc

Maxime Nollet

Janio Cornelio

Shiqiang Wen

Systems and methods presented herein include a cable spooling system that includes a drum configured to rotate about a central axis of the drum to wind and unwind a cable onto and from the drum as the drum rotates. The cable spooling system also includes one or more cameras configured to capture images of the drum as it rotates. The cable spooling system further includes one or more markers disposed on one or more flanges of the drum. The one or more markers are configured to be in view of the one or more cameras during a portion of rotation of the drum. In addition, the cable spooling system includes a data processing and control system configured to estimate an angular velocity of the drum using the images captured by the one or more cameras.

Image-based cable spooling drum speed estimation

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.

Detection and correction of false positive classifications from a product sand detection tool

A method for detecting an object in a borehole includes acquiring at least two ultrasonic logs of a borehole section. Each of the ultrasonic logs includes ultrasonic measurements taken at a plurality of tool azimuths of a plurality of depths including a target depth. The method also includes inferring a VDL image relative to the target depth for each of the ultrasonic logs. Further, the method includes aligning the VDL images. Further still, the method includes merging the aligned VDL images into a high-resolution VDL image. Even further, the method includes detecting an object present in the borehole based on the high-resolution VDL image.

Method and system for detecting an object in a borehole

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Clamart, France

Thanh Nhan Nguyen