Reservoir and completion quality assessment in unconventional (shale gas) wells without logs or core
US-9810062-B2 · Nov 7, 2017 · US
US2016119591A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016119591-A1 |
| Application number | US-201314889810-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 3, 2013 |
| Priority date | Jul 3, 2013 |
| Publication date | Apr 28, 2016 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Estimating casing wear. At least some of the illustrative embodiments are methods including: capturing an image comprising cuttings and casing wear particles on a shale shaker in a drilling operation, the capturing by at least one camera associated with the shale shaker; identifying casing wear particles shown in the image, the identifying by a computer system; and estimating a volume of casing wear based on the identifying.
Opening claim text (preview).
1 . A method comprising: capturing an image comprising cuttings and casing wear particles on a shale shaker in a drilling operation, the capturing by at least one camera associated with the shale shaker; identifying casing wear particles shown in the image, the identifying by a computer system; and estimating a volume of casing wear based on the identifying. 2 . The method of claim 1 wherein estimating further comprises estimating at least one selected from the group consisting of: volume of casing wear that occurs within a window of time; volume of casing wear that occurs during a drilling time; volume of casing wear experienced for a length of casing; volume of casing wear at a measured depth; volume of casing wear that occurs over a milling time; and volume of casing wear that occurs during a fishing operation. 3 . The method of claim 1 wherein capturing further comprises capturing a thermal image. 4 . The method of claim 1 further comprising estimating an originating location of the casing wear particles within a casing. 5 . The method of claim 4 wherein estimating the originating location further comprises estimating based on at least one selected from the group consisting of: temperature of the casing wear particles; shape of the casing wear particles; and size of the casing wear particles. 6 . The method of claim 4 wherein estimating the originating location further comprises determining a temperature of the casing wear particles. 7 . The method of claim 1 , wherein capturing further comprises capturing a plurality of images. 8 . The method of claim 7 wherein capturing the plurality of images further comprises capturing by way of multiple cameras. 9 . The method of claim 1 further comprising changing a drilling parameter responsive to the volume of casing wear estimated. 10 . The method of claim 9 wherein changing the drilling parameter further comprises changing at least one selected from the group consisting of: weight-on-bit; rotational speed of a drillstring; and a component of a bottomhole assembly. 11 . A system comprising: a camera associated with a shale shaker; a processor coupled to the camera; a memory coupled to the processor, the memory storing a program that, when executed by the processor, causes the processor to: receive an image, the image captured by the camera, comprising cuttings and casing wear particles on a shale shaker in a drilling operation; identify casing wear particles shown in the image; and estimate a volume of casing wear based on the identifying. 12 . The system of claim 11 wherein the camera is coupled to the shale shaker. 13 . The system of claim 11 wherein the camera is coupled to a piece of drilling equipment located in proximity to the shale shaker. 14 . The system of claim 11 , wherein when the processor estimates the volume, the program further causes the processor to estimate at least one selected from the group consisting of: volume of casing wear that occurs within a window of time; volume of casing wear that occurs during a drilling time; volume of casing wear experienced for a length of casing; volume of casing wear at a measured depth; volume of casing wear that occurs over a milling time; and volume of casing wear that occurs during a fishing operation. 15 . The system of claim 11 , wherein when the processor receives, the program further causes the processor to receive a thermal image. 16 . The system of claim 11 , wherein when the processor estimates, the program further causes the processor to estimate an originating location of the casing wear particles within a casing. 17 . The system of claim 16 wherein when the processor estimates the originating location, the program further causes the processor to estimate based on at least one selected from the group consisting of: temperature of the casing wear particles; shape of the casing wear particles; and size of the casing wear particles. 18 . The system of claim 16 wherein when the processor estimates the originating location, the program further causes the processor to determine a temperature of the casing wear particles. 19 . The system of claim 11 , wherein the program further causes the processor to change a drilling parameter during drilling, the change responsive to the volume of casing wear. 20 . A non-transitory computer-readable medium storing a program that, when executed by a processor, causes the processor to: receive an image, the image captured by a camera associated with a shale shaker, the image comprising cuttings and casing wear particles on the shale shaker in a drilling operation; identify casing wear particles located within the image; estimate a volume of casing wear based on the identifying. 21 . The non-transitory computer-readable medium of claim 20 wherein when the program estimates the volume, the program further causes the processor to estimate at least one selected from the group consisting of: volume of casing wear that occurs within a window of time; volume of casing wear that occurs during a drilling time; volume of casing wear experienced for a length of casing; volume of casing wear at a measured depth; volume of casing wear that occurs over a milling time; and volume of casing wear that occurs during a fishing operation. 22 . The non-transitory computer-readable medium of claim 20 , wherein when the program receives the image, the program further causes the processor to receive a thermal image. 23 . The non-transitory computer-readable medium of claim 20 , wherein when the program estimates, the program further causes the processor to estimate an originating location of the casing wear particles within a casing. 24 . The non-transitory computer-readable medium of claim 23 wherein when the program estimates, the program further causes the processor to estimate based on least one selected from the group consisting of: temperature of the casing wear particles; shape of the casing wear particles; and size of the casing wear particles. 25 . The non-transitory computer-readable medium of claim 23 wherein when the program estimates the originating location, the program further causes the processor to determine a temperature of the casing wear particles. 26 . The non-transitory computer-readable medium of claim 20 , wherein the program further causes the processor to change a drilling parameter during drilling, the change responsive to the volume of casing wear.
Measuring stresses in a pipe string or casing (for locating blocked portions of pipes E21B47/09) · CPC title
Earth observation · CPC title
Workpiece; Machine component · CPC title
checking presence/absence · CPC title
with further treatment of the solids, e.g. for disposal · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.