公开(公告)号：US10801314B2

公开(公告)日：2020-10-13

申请号：US15565411

申请日：2016-12-20

Applicant: Landmark Graphics Corporation

Inventor： Robello Samuel ,  Zhengchun Liu ,  Jeffrey Marc Yarus ,  Jin Fei

IPC: E21B44/02 ,  E21B47/022 ,  E21B7/04 ,  G06F19/00

Abstract: A method may include drilling a deviated wellbore penetrating a subterranean formation according to bottom hole assembly parameters and surface parameters; collecting real-time formation data during drilling; updating a model of the subterranean formation based on the real-time formation data and deriving formation properties therefrom; collecting survey data corresponding to a location of a drill bit in the subterranean formation; deriving a target well path for the drilling based on the model of the subterranean formation; deriving a series of trajectory well paths based on the formation properties, the survey data, the bottom hole assembly parameters, and the surface parameters and uncertainties associated therewith; deriving an actual well path based on the series of trajectory well paths; deriving a deviation between the target well path and the actual well path; and adjusting the bottom hole assembly parameters and the surface parameters to maintain the deviation below a threshold.

公开(公告)号：US10429545B2

公开(公告)日：2019-10-01

申请号：US14440322

申请日：2012-12-13

Applicant: Landmark Graphics Corporation

Inventor： Travis St. George Ramsay ,  Jeffrey Marc Yarus

IPC: G01V99/00 ,  E21B43/00

Abstract: A system and method utilizing a modified Euler Characteristic to numerically quantify and rank connectivity of a geobody within a reservoir model based upon a range of petrophysical properties.

公开(公告)号：US20190235106A1

公开(公告)日：2019-08-01

申请号：US16331635

申请日：2016-10-04

Applicant: Landmark Graphics Corporation

Inventor： Ashwani Dev ,  Sridharan Vallabhaneni ,  Raquel Morag Velasco ,  Jeffrey Marc Yarus

IPC: G01V1/28 ,  G01V1/30

CPC classification number: G01V1/282 ,  G01V1/288 ,  G01V1/301 ,  G01V1/307 ,  G01V1/308 ,  G01V1/42 ,  G01V1/50 ,  G01V11/00 ,  G01V2210/121 ,  G01V2210/1234 ,  G01V2210/6122 ,  G01V2210/6163 ,  G01V2210/6165 ,  G01V2210/6167 ,  G01V2210/6169 ,  G01V2210/63 ,  G01V2210/646 ,  G06Q10/06 ,  G06Q50/02

Abstract: A multivariate analysis may be used to correlate seismic attributes for a subterranean formation with petrophysical properties of the subterranean formation and/or microseismic data associated with treating, creating, and/or extending a fracture network of the subterranean formation. For example, a method may involve modeling petrophysical properties of a subterranean formation, microseismic data associated with treating a complex fracture network in the subterranean formation, or a combination thereof with a mathematical model based on measured data, microseismic data, completion and treatment data, or a combination thereof to produce a petrophysical property map, a microseismic data map, or a combination thereof; and correlating a seismic attribute map with the petrophysical property map, the microseismic data map, or the combination thereof using the mathematical model to produce at least one quantified correlation, wherein the seismic attribute map is a seismic attributed modeled for the complex fracture network.

公开(公告)号：US10359540B2

公开(公告)日：2019-07-23

申请号：US14894326

申请日：2013-08-30

Applicant: Landmark Graphics Corporation

Inventor： Jeffrey Marc Yarus ,  Rae Mohan Srivastava ,  Marko Maucec

IPC: G06F17/50 ,  G01V99/00

Abstract: A system and method for performing classification and regression tree flow simulations for reservoir. A partial flow simulation is performed. Dynamic properties associated with the partial flow simulation are stored for each time step. CART is utilized to predict changes in the dynamic properties utilizing stored dynamic properties determined by the partial flow simulation.

公开(公告)号：US10324228B2

公开(公告)日：2019-06-18

申请号：US14889121

申请日：2013-10-23

Applicant: Landmark Graphics Corporation

Inventor： Jeffrey Marc Yarus ,  Rae Mohan Srivastava ,  Marko Maucec

IPC: G01V99/00 ,  G06T17/05 ,  E21B49/00 ,  G06T19/00

Abstract: The disclosed embodiments include a method, apparatus, and computer program product for performing gridless simulation of a fluvio-deltaic environment. For example, one disclosed embodiment includes a system that includes at least one processor, and at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations that include generating a set of channel centerlines corresponding to a set of channels that are indicative of flow units in a fluvio-deltaic environment; and generating channel widths for each of the channel centerlines. In one embodiment, the operations for generating the set of channel centerlines of the reservoir include selecting a seed point for each channel, assigning each seed point a direction of propagation, and iteratively generating each channel.

公开(公告)号：US10319140B2

公开(公告)日：2019-06-11

申请号：US15108704

申请日：2015-07-07

Applicant: Landmark Graphics Corporation

Inventor： Zitao Xu ,  Genbao Shi ,  Andres Cesar Callegari ,  ChiKang David Chien ,  Jeffrey Marc Yarus

IPC: G06T15/80 ,  G06T15/00 ,  G06T15/04

Abstract: A consecutive set of data points, P1, P2, P3, and P4, is selected. A first line is created through P1 and P3. A first tangent vector originating at P2, parallel to the first line, is created. A second line through P2 and P4 is created. A second tangent vector through P3 is created. The second tangent vector is parallel to the second line. A baseline through P2 and P3 is created. A Bezier curve between P2 and P3 is created, wherein the Bezier curve has a degree. The degree of the Bezier curve is determined based on a comparison of the first tangent vector, the second tangent vector, and the baseline.

公开(公告)号：US20190080032A1

公开(公告)日：2019-03-14

申请号：US15762668

申请日：2015-11-10

Applicant: Landmark Graphics Corporation

Inventor： Jeffrey Marc Yarus ,  Rae Mohan Srivastava ,  Genbao Shi ,  Veronica Narayan Liceras ,  Yogendra Narayan Pandey ,  Zhaoyang Wang

IPC: G06F17/50 ,  G06T17/20 ,  G06T17/05

Abstract: Target objects are simulated using different triangle mesh sizes to improve processing performance. To perform the simulation, a seed point for the target object within a constraint volume is determined, the seed point representing a vertex of a first triangle forming part of the target object. One or more hexagonal orbits of triangles adjacent the first triangle are propagated, whereby the hexagonal orbits of triangles form the target object. The size of each triangle is determined based upon dimensions of the target object, and the target object is generated.

公开(公告)号：US20150205001A1

公开(公告)日：2015-07-23

申请号：US14368363

申请日：2013-10-15

Applicant: Landmark Graphics Corporation

Inventor： Daniel James Carruthers ,  Jeffrey Marc Yarus

IPC: G01V99/00 ,  G06F17/10

CPC classification number: G01V99/005 ,  G06F17/10 ,  G06T17/05

Abstract: Systems and methods for basin to reservoir modeling to identify any hi-grade drilling targets based on the linking of static and dynamic reservoir rock and fluid properties. Static, present-day, reservoir and field scale description grids or unstructured meshes are transformed into dynamic (through time) simulation grids or unstructured meshes that can subsequently be used for input to dynamic calculators. Basin modeling may be performed at the reservoir scale, providing a link between present-day and the historical process that acted on the rocks and fluids.

Abstract translation: 基于静态和动态储层岩石和流体性质的连接的盆地到油藏建模的系统和方法，以识别任何高级钻井目标。 静态，现在，水库和场尺度描述网格或非结构化网格被转换为动态（通过时间）模拟网格或非结构化网格，随后可用于输入到动态计算器。 盆地建模可以在水库尺度进行，提供当前日期与作用于岩石和流体的历史过程之间的联系。

公开(公告)号：US11599790B2

公开(公告)日：2023-03-07

申请号：US16614858

申请日：2017-07-21

Applicant: Landmark Graphics Corporation

Inventor： Yogendra Narayan Pandey ,  Keshava Prasad Rangarajan ,  Jeffrey Marc Yarus ,  Naresh Chaudhary ,  Nagaraj Srinivasan ,  James Etienne

IPC: G06N3/08 ,  G01V99/00 ,  G06K9/62

Abstract: Embodiments of the subject technology for deep learning based reservoir modelling provides for receiving input data comprising information associated with one or more well logs in a region of interest. The subject technology determines, based at least in part on the input data, an input feature associated with a first deep neural network (DNN) for predicting a value of a property at a location within the region of interest. Further, the subject technology trains, using the input data and based at least in part on the input feature, the first DNN. The subject technology predicts, using the first DNN, the value of the property at the location in the region of interest. The subject technology utilizes a second DNN that classifies facies based on the predicted property in the region of interest.

公开(公告)号：US20220221615A1

公开(公告)日：2022-07-14

申请号：US17595654

申请日：2020-02-14

Applicant: Landmark Graphics Corporation

Inventor： Genbao Shi ,  Gaetan Pierre Louis Bardy ,  Mehran Hassanpour ,  Jeffrey Marc Yarus

IPC: G01V99/00 ,  E21B44/02

Abstract: A reservoir model for values of a formation property is simulated using a turning bands method with distributed computing. A distributed computing system simulates the reservoir on separate machines in parallel in several stages. First, line distributions are simulated independently on turning bands. The reservoir model is partitioned into tiles and unconditional simulations are run on each tile in parallel using the corresponding simulated turning bands. The unconditional simulations within each tile are conditioned on known formation values to generate conditional simulations. Conditional simulations are aggregated across tiles to create the simulated reservoir model.