-
公开(公告)号：US10657441B2
公开(公告)日：2020-05-19
申请号：US15551204
申请日：2015-04-01
Applicant: Landmark Graphics Corporation
Inventor： Serkan Dursun , Nhon Ai T. Tran , Giulia Toti
Abstract: An example method includes receiving raw data sets containing drilling parameter and operating condition values generated during subterranean drilling operations. The raw data sets may be separated into training data sets based, at least in part, on the types of the subterranean drilling operations. At least one predictive model may be generated based, at least in part, on at least one training data set. The at least one predictive model may determine a rate of penetration (ROP) for a drilling operation of the same type to which the at least one training data set corresponds.
-
公开(公告)号：US20170292362A1
公开(公告)日：2017-10-12
申请号：US15509357
申请日：2014-10-17
Applicant: Landmark Graphics Corporation
Inventor： Aniket Aniket , Robello Samuel , Serkan Dursun
CPC classification number: E21B44/00 , E21B7/04 , E21B47/0006 , E21B47/18 , G06N20/00
Abstract: A casing wear estimation method includes obtaining a set of input parameters associated with extending a partially-cased borehole and applying the set of input parameters to a physics-driven model to obtain an estimated casing wear log. The method also includes employing a data-driven model to produce a predicted casing wear log based at least in part on the estimated casing wear log. The method also includes storing or displaying information based on the predicted casing wear log.
-
公开(公告)号：US10280732B2
公开(公告)日：2019-05-07
申请号：US15313502
申请日：2014-08-21
Applicant: LANDMARK GRAPHICS CORPORATION
Inventor： Serkan Dursun , Robello Samuel , Aniket
IPC: E21B44/06 , E21B47/12 , E21B7/04 , E21B21/08 , E21B44/04 , E21B45/00 , E21B47/06 , E21B49/00 , G01V99/00
Abstract: A method including obtaining input attribute values and a target risk attribute value associated with a first borehole segment. The method also includes training a prediction model for the target risk attribute using the input attribute values and the target risk attribute value. The method also includes acquiring subsequent input attribute values. The method also includes using the trained prediction model and the subsequent input attribute values to predict a target risk attribute value for a second borehole segment. The method also includes storing or displaying information based on the predicted target risk attribute value.
-
公开(公告)号：US10267138B2
公开(公告)日：2019-04-23
申请号：US15509060
申请日：2014-10-08
Applicant: Landmark Graphics Corporation
Inventor： Robello Samuel , Aniket , Serkan Dursun
Abstract: One drilling method embodiment includes: obtaining a set of drilling parameters, possibly from a drilling plan; applying the set of drilling parameters to a physics-based model to obtain an estimated log of a downhole parameter such as temperature; and refining the estimated log using a data-driven model with a set of exogenous parameters. Temperature cycling and cumulative fatigue (or other measures of failure probability or remaining tool life) may be derived to predict tool failures, identify root causes of poor drilling performance, and determine corrective actions.
-
公开(公告)号：US09582764B2
公开(公告)日：2017-02-28
申请号：US14429072
申请日：2013-10-25
Applicant: Landmark Graphics Corporation
Inventor： Serkan Dursun , Tayfun Tuna , Kaan Duman
CPC classification number: G06N5/048 , E21B41/00 , G01V11/00 , G06N99/005
Abstract: Systems and methods for real-time risk prediction during drilling operations using real-time data from an uncompleted well, a trained coarse layer model and a trained fine layer model for each respective layer of the trained coarse layer model. In addition to using the systems and methods for real-time risk prediction, the systems and methods may also be used to monitor other uncompleted wells and to perform a statistical analysis of the duration of each risk level for the monitored well.
Abstract translation: 用于钻井操作中的实时风险预测的系统和方法，其使用来自未完成井的实时数据，经过训练的粗糙层模型和经训练的粗糙层模型的每个相应层的训练的细层模型。 除了使用系统和方法进行实时风险预测之外，系统和方法还可用于监测其他未完成的井，并对监测井的每个风险水平的持续时间进行统计分析。
-
Patent Agency Ranking
公开(公告)号：US09581726B2
公开(公告)日：2017-02-28
申请号：US14420271
申请日：2013-12-05
Applicant: Landmark Graphics Corporation
Inventor： Keshava P Rangarajan , Serkan Dursun , Amit Kumar Singh
CPC classification number: G01V99/005 , G01V99/00 , G01V2210/62 , G06K9/6228 , G06K9/6257
Abstract: A system and method for determination of importance of attributes among a plurality of attribute importance models incorporating a segmented attribute kerneling (SAK) method of attribute importance determination. The method permits operation of multiple attribute importance algorithms simultaneously, finds the intersecting subset of important attributes across the multiple techniques, and then outputs a consolidated ranked set. In addition, the method identifies and presents a ranked subset of the attributes excluded from the union.
Abstract translation: 一种用于在包含属性重要性确定的分段属性内核（SAK）方法的多个属性重要性模型中确定属性的重要性的系统和方法。 该方法允许同时操作多个属性重要性算法，通过多种技术找到重要属性的相交子集，然后输出综合排名集合。 此外，该方法识别并呈现从联合排除的属性的排名子集。
-
公开(公告)号：US20150356450A1
公开(公告)日：2015-12-10
申请号：US14429072
申请日：2013-10-25
Applicant: Landmark Graphics Corporation
Inventor： Serkan Dursun , Tayfun Tuna , Kaan Duman
CPC classification number: G06N5/048 , E21B41/00 , G01V11/00 , G06N99/005
Abstract: Systems and methods for real-time risk prediction during drilling operations using real-time data from an uncompleted well, a trained coarse layer model and a trained fine layer model for each respective layer of the trained coarse layer model. In addition to using the systems and methods for real-time risk prediction, the systems and methods may also be used to monitor other uncompleted wells and to perform a statistical analysis of the duration of each risk level for the monitored well.
Abstract translation: 用于钻井操作中的实时风险预测的系统和方法，其使用来自未完成井的实时数据，经过训练的粗糙层模型和经训练的粗糙层模型的每个相应层的训练的细层模型。 除了使用系统和方法进行实时风险预测之外，系统和方法还可用于监测其他未完成的井，并对监测井的每个风险水平的持续时间进行统计分析。
-
公开(公告)号：US20170284186A1
公开(公告)日：2017-10-05
申请号：US15509060
申请日：2014-10-08
Applicant: Landmark Graphics Corporation
Inventor： Robello Samuel , Aniket Aniket , Serkan Dursun
Abstract: One drilling method embodiment includes: obtaining a set of drilling parameters, possibly from a drilling plan; applying the set of drilling parameters to a physics-based model to obtain an estimated log of a downhole parameter such as temperature; and refining the estimated log using a data-driven model with a set of exogenous parameters. Temperature cycling and cumulative fatigue (or other measures of failure probability or remaining tool life) may be derived to predict tool failures, identify root causes of poor drilling performance, and determine corrective actions.
-
公开(公告)号：US20170191359A1
公开(公告)日：2017-07-06
申请号：US15313502
申请日：2014-08-21
Applicant: LANDMARK GRAPHICS CORPORATION
Inventor： Serkan Dursun , Robello Samuel , Aniket
CPC classification number: E21B44/06 , E21B7/04 , E21B21/08 , E21B44/04 , E21B45/00 , E21B47/06 , E21B47/065 , E21B47/12 , E21B49/003 , G01V99/005
Abstract: A method including obtaining input attribute values and a target risk attribute value associated with a first borehole segment. The method also includes training a prediction model for the target risk attribute using the input attribute values and the target risk attribute value. The method also includes acquiring subsequent input attribute values. The method also includes using the trained prediction model and the subsequent input attribute values to predict a target risk attribute value for a second borehole segment. The method also includes storing or displaying information based on the predicted target risk attribute value.
-
公开(公告)号：US20160239754A1
公开(公告)日：2016-08-18
申请号：US15024575
申请日：2013-10-25
Applicant: LANDMARK GRAPHICS CORPORATION
Inventor： Serkan Dursun , Tayfun Tuna , Kaan Duman , Robert West Kellogg
Abstract: Systems and methods for real-time risk prediction during drilling operations using real-time data from an uncompleted well, a trained coarse layer model and a trained fine layer model for each respective layer of the trained coarse layer model. In addition to using the systems and methods for real-time risk prediction, the systems and methods may also be used to monitor other uncompleted wells and to perform a statistical analysis of the duration of each risk level for the monitored well.
-
-
-
-
-
-
-
-
-
Search Results
11
records
(took 0.016 seconds)
