Methods for transmitting data acquired downhole by a downhole tool

Patent metadata

Field	Value
Publication number	US-11526977-B2
Application number	US-202016868739-A
Country	US
Kind code	B2
Filing date	May 7, 2020
Priority date	Dec 18, 2019
Publication date	Dec 13, 2022
Grant date	Dec 13, 2022

Abstract

The disclosure relates to a method and system for downhole processing of data, such as images, including using a set of downhole sensors to measure parameters relative to the borehole at a plurality of depths and azimuths and detecting predetermined features of the borehole, using a downhole processor, with a trained machine-learning model and extracting characterization data, characterizing the shape and position of the predetermined features that are transmitted to the surface. It also provides a method and system for providing an image of a geological formation at the surface including transmitting a first dataset to the surface that will be used for reconstructing an image at the surface, downhole processing of a second dataset to detect predetermined features and extract characterization data that are transmitted at the surface and displaying a combined image comprising the predetermined features overlaid on the first image.

First claim

The invention claimed is:

1. A method for providing an image relative to a borehole crossing a geological formation based on data acquired downhole by a downhole tool comprising at least first and second imaging sensor sets, the method including:
transmitting a first dataset acquired by the first imaging sensor set to surface at a well site including the borehole,
reconstructing a first image using the first dataset,
processing downhole a second dataset acquired by the second imaging sensor set, wherein the downhole processing includes detecting predetermined rock structural features of the borehole and extracting characterization data characterizing the shape and position of at least one of the predetermined features, wherein the extracted characterization data is selected based on available bandwidth for transmission to the surface,
transmitting to the surface the characterization data, and
based on the characterization data, displaying a combined image comprising the predetermined rock structural features overlaid on the first image.

2. The method of claim 1 , wherein the first imaging sensor set is a resistivity sensor set and the second imaging sensor set is an ultrasonic sensor set.

3. The method of claim 1 , wherein each dataset comprises data relative to one or more measured parameters as well as data relative to a position.

4. The method of claim 3 , wherein the second sensor set is an ultrasonic sensor, wherein the one or more measured parameters comprises at least one of a travel time and an amplitude.

5. The method of claim 1 , wherein the predetermined rock structural features comprise one or more of dips, borehole shape, layer boundaries, porosity, vugs, texture, stylolites, natural fractures, induced fractures and/or breakouts.

6. The method of claim 1 , wherein the extracted characterization data is selected based on an input obtained from the surface.

7. The method of claim 1 , wherein extracting characterization data includes obtaining first characterization data from the detected predetermined rock structural features of the borehole, and extracting second characterization data from the first characterization data, wherein the second characterization data is transmitted to the surface.

8. The method of claim 1 , wherein the characterization data includes one or more of:
data relative to the presence of the rock structural feature,
data relative to position of a center point of the rock structural feature,
data relative to dimensions of the rock structural features along one or more predetermined axis, and/or
data relative to dimension of the rock structural feature along one predetermined axis and orientation of the predetermined axis,
data relative to position of a contour of a rock structural feature, and/or
data relative to position of all of the points classified as belonging to the rock structural features.

9. The method of claim 1 , wherein the detection of rock structural features includes inputting the second dataset into a trained machine learning model, wherein the machine learning model has been trained based on a training dataset representative of previously identified predetermined features.

10. The method of claim 1 , including making a decision relative to a drilling process based on the first image displaying the predetermined rock structural features.

11. A system for providing an image relative to a borehole crossing a geological formation, comprising
a downhole tool comprising at least a first and second imaging sensor sets for acquiring respectively a first and second dataset, and
a control system comprising a telemetry system for transmitting data from the downhole tool to surface at a well site including the borehole, a downhole processing unit and a surface processing unit situated at the surface, wherein:
the downhole processing unit is configured to process downhole the second dataset, wherein the downhole processing includes detecting predetermined rock structural features of the borehole and extracting characterization data characterizing the shape and position of at least one of the predetermined features, wherein the extracted characterization data is selected based on available bandwidth for transmission to the surface,
the telemetry system is configured for transmitting the first dataset and characterization data to the surface, and
the surface processing unit is configured to reconstruct a first image of the borehole using the first dataset and, based on characterization data, displaying a combined image comprising the predetermined rock structural features overlaid on the first image.

Assignees

• Schlumberger Technology Corp

Inventors

• Maeso Carlos
• Quesada Daniel
• Escobar Ana
• Tamaazousti Youssef
• Kherroubi Josselin
• Auchere Jean-Christophe

Classifications

• E21B47/00 Primary

  Survey of boreholes or wells (monitoring pressure or flow of drilling fluid E21B21/08) · CPC title

• G06T7/0004 Primary

  Industrial image inspection · CPC title

• G06N5/01

  Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound · CPC title

• G06F18/217

  Validation; Performance evaluation; Active pattern learning techniques · CPC title

• G06F18/2431

  Multiple classes · CPC title