首页|Patent Issued for Systems and methods for training a well model to predict mater ial loss for a pipe string within a borehole (USPTO 12000976)
Patent Issued for Systems and methods for training a well model to predict mater ial loss for a pipe string within a borehole (USPTO 12000976)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Ba dis, Chafaa (Lons, FR), Kroczka, Sebastian (Cracow, PL), Souza, Welton Danniel ( Dan Haag, NL), filed on August 28, 2020, was published online on June 4, 2024. The assignee for this patent, patent number 12000976, is Landmark Graphics Corpo ration (Houston, Texas, United States). Reporters obtained the following quote from the background information supplied by the inventors: "This section is intended to provide relevant background infor mation to facilitate a better understanding of the various aspects of the descri bed embodiments. Accordingly, these statements are to be read in this light and not as admissions of prior art. "During oil and gas exploration and production, a network of wells, installation s, and other conduits may be established by connecting tubular sections together . For example, a well installation may be completed, in part, by lowering multip le tubular sections (i.e., a casing string) into a borehole, and cementing the c asing string in place. In some well installations, multiple casing strings are e mployed (e.g., a concentric multi-string arrangement) to allow for different ope rations related to well completion, production, or enhanced oil recovery (EOR) o ptions.