Schlumberger Technology Corporation

Services Petroliers Schlumberger

Shahzad Asif

Koji Ito

John C Rasmus

Christopher Edward Morriss

Roger Griffiths

David Maggs

Christian Stolte

Jacques R Tabanou

Denis Heliot

John Paul Horkowitz

Keli Sun

Steve F Crary

Sushil Shetty

Hui Xie

Joan Abadie

Adrien Chassard

Mohammad Taghi Salehi

Vittorio Picco

A method, apparatus, and program product utilize a buffer defined relative to a wellbore trajectory to generate a work zone around a wellbore for use in connection with formation modeling. In some embodiments, for example, a closed curve such as a non-rectangular, polygonal work zone may be defined around a wellbore based upon a buffer that extends generally transverse to the trajectory of a length of a wellbore a predetermined distance. In addition, boundaries may be defined in a work zone to effectively split the work zone into multiple closed curves or polygons in response to user editing, e.g., to create one or more subsurface layers in the work zone. In such instances, points defining a subsurface layer may be shared by adjacent layers such that editing of such points will affect each of the layers sharing such points.

Local layer geometry engine with work zone generated from buffer defined relative to a wellbore trajectory

A method for automatic interpretation of bulls-eye and sinusoidal features observed in LWD images is disclosed. In some embodiments, the method includes an automatic workflow for extracting smooth contours from images that demarcate boundaries of structural features, followed by projection of the contours to three-dimensional (3D) point clouds in the well coordinate system for structural interpretation. The method may characterize both sinusoidal features and bulls-eye features, taking into account variations of formation dip/azimuth, or well inclination/azimuth, on the topology of a structural feature. The disclosed method may be sufficiently fast for use in real-time analysis and interpretation, or to provide constraints for physics-based data inversion processing.

Automatic method for three-dimensional structural interpretation of borehole images acquired in high-angle and horizontal wells

A method for transforming a 2D or 3D earth volume geometry into a 1D earth volume geometry includes performing a measurement using the measurement sensor in a wellbore. A layer boundary in the 2D or 3D earth volume geometry that is nearest to the measurement sensor is identified. A vector from the measurement sensor is generated toward the nearest layer boundary. A first intersection is identified between the vector and the nearest layer boundary, and a second intersection is identified between the vector and another layer boundary. Simulated boundaries that extend through the first and second intersections and are perpendicular to the vector are generated. The 1D earth volume geometry that is bounded by the first and second intersections is identified. A property value is extracted from the 2D or 3D earth volume geometry between the first and second intersections. The property value is assigned to the 1D earth geometry.

Method for determining petrophysical properties from logging measurements

Methods, computer-readable media, and systems are disclosed for applying 1D processing in a non-1D formation. In some embodiments, a 3D model or curtain section of a subsurface earth formation may be obtained. A processing window within the 3D model or curtain that is suitable for 1D inversion processing is determined, and a local 1D model for the processing window is built. A 1D inversion is performed on the local 1D model, and inverted formation parameters are used to update the 3D model or curtain section.

Methods, computer-readable media, and systems for applying 1-dimensional (1D) processing in a non-1D formation

A method for visualizing parametric logging data includes interpreting logging data sets, each logging data set corresponding to a distinct value of a progression parameter, calculating a geometric image including a representation of data from each of the logging data sets corresponding to a wellbore measured depth, and displaying the geometric image(s) at a position along a well trajectory corresponding to the wellbore measured depth. The progression parameter includes time, a resistivity measurement depth, differing tool modes that are sampling different volumes of investigation, and/or sampling different physical properties. The geometric images include a number of parallel lines having lengths determined according to the logging data and/or an azimuthal projection of the logging data, a number of concentric axial projections, and/or shapelets determined from parallel lines and/or concentric axial projections. The method includes dynamically determining a selected measured depth, measured depth interval, and/or azimuthal projection angle.

Method and apparatus for visualizing multi-dimensional well logging data with shapelets

A method for processing well logging data includes method dividing the well logging data into a number of constant dimensional effect segments, where each constant dimensional effect segment defines an interval having a similar dimensional effect on the log response. The well logging data is taken from a highly deviated well. The method further includes dividing the constant dimensional effect segments into a number of constant property intervals, each constant dimensional effect segment including at least one corresponding constant property interval, and each constant property interval defining a wellbore distance over which a formation property is substantially constant that results in a log response having a low variance. The method further includes providing the constant property intervals to an output device. The method further includes determining constant property intervals in 3D volume space projected them into true stratigraphic thickness, and providing the resulting log-squared data to the output device.

Log processing in highly deviated wellbores

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Richmond, TX, United States of America

Shahzad Asif