Wen Bin Chen

6335990, Jan 1, 2002

Dec 4, 1997

08/985377

Wen H. Chen - Sunnyvale CA
Ji Zhang - San Jose CA
Fang Wu - San Jose CA

Cisco Technology, Inc. - San Jose CA

G06T 510

382261, 382265, 382275, 348607, 348608, 348618, 348620, 37524029

A filter that filters in the spatial and temporal domain in a single step with filtering coefficients that can be varied depending upon the complexity of the video and the motion between the adjacent frames comprises: a IIR filter, a threshold unit, and a coefficient register. The IIR filter and threshold unit are coupled to receive video data. The IIR filter is also coupled to the coefficient register and the threshold unit. The IIR filter receives coefficients, a, from the coefficient register and uses them to filter the video data received. The IIR filter filters the data in the vertical, horizontal and temporal dimensions in a single step. The filtered data output by the IIR filter is sent to the threshold unit. The threshold unit compares the absolute value of the difference between the filtered data and the raw video data to a threshold value from the coefficient register, and then outputs either the raw video data or the filtered data. The present invention is advantageous because it preserves significant edges in video sequence; it preserves motion changes in video sequences; it reduces noise; and it uses minimal memory storage and introduces minimal processing delay.

7584081, Sep 1, 2009

Nov 21, 2005

11/285606

Wen H. Chen - Danville CA, US

Chevron U.S.A. Inc. - San Ramon CA

G06F 17/10

703 2, 703 10

A method, system and apparatus for real-time reservoir model updating using ensemble Kalman filters is described. The method includes a conforming step for bring bringing static and dynamic state variables into conformance with one another during a time step of the updating. Also, an iterative damping method is used in conjunction with the conformance step to account for nonGaussian and nonlinear features in a system. Also, a re-sampling method is described which reduces the ensemble size of reservoir models which are to be updated.

8155942, Apr 10, 2012

Feb 19, 2009

12/389227

Pallav Sarma - San Ramon CA, US
Wen Hsiung Chen - Danville CA, US

Chevron U.S.A. Inc. - San Ramon CA

G06G 7/48
G01V 1/40
G01V 3/18
G01V 5/04
G01V 9/00

703 10, 703 6, 702 6

The disclosed methods, systems, and software are described for optimizing well placement in a reservoir field. A geological model of a reservoir field, a grid defining a plurality of cells, one or more wells to be located within the plurality of cells, and an objective function are all provided. The geological model is associated with the grid defining the plurality of cells. The locations of the wells are represented by continuous well location variables associated with a continuous spatial domain. A gradient of the objective function is calculated responsive to the continuous well location variables. The locations of the wells are then adjusted responsive to the calculated gradient of the objective function. Iterative calculation of the gradient and adjustment of the wells continue until the well locations are optimized. A visual representation of the reservoir field can be generated based on the optimized well placements.

20100198570, Aug 5, 2010

Jan 29, 2010

12/657929

Pallav Sarma - San Ramon CA, US
Wen Hsiung Chen - Danville CA, US

G06G 7/57

703 10

A reservoir prediction system and method are provided that use generalized EnKF using kernels, capable of representing non-Gaussian random fields characterized by multi-point geostatistics. The main drawback of the standard EnKF is that the Kalman update essentially results in a linear combination of the forecasted ensemble, and the EnKF only uses the covariance and cross-covariance between the random fields (to be updated) and observations, thereby only preserving two-point statistics. Kernel methods allow the creation of nonlinear generalizations of linear algorithms that can be exclusively written in terms of dot products. By deriving the EnKF in a high-dimensional feature space implicitly defined using kernels, both the Kalman gain and update equations are nonlinearized, thus providing a completely general nonlinear set of EnKF equations, the nonlinearity being controlled by the kernel. By choosing high order polynomial kernels, multi-point statistics and therefore geological realism of the updated random fields can be preserved. The method is applied to two non-limiting examples where permeability is updated using production data as observations, and is shown to better reproduce complex geology compared to the standard EnKF, while providing reasonable match to the production data.

20120059641, Mar 8, 2012

Sep 1, 2011

13/223385

Alexandre Castellini - San Francisco CA, US
Herve Gross - San Francisco CA, US
Yifan Zhou - Stanford CA, US
Jincong He - San Ramon CA, US
Wen Hsiung Chen - Danville CA, US

Chevron U.S.A. Inc. - San Ramon CA

G06G 7/48

703 10

A method, system and computer program product is disclosed for utilizing proxy models to evaluate a subterranean reservoir. The method includes constructing a proxy model from a set of sampling points to approximate simulation outputs of a reservoir model. The set of sampling points is updated by adding at least one new sampling point that is selected from a location associated with surface non-linearities such as gradients, curvature, and bending energy. Response surface values at new sampling points and distances to existing sampling points can also be used to evaluate new sampling points. Proxy models are refined with the updated set of sampling points until the proxy model satisfies a predetermined stopping criterion, such as when a predetermined number of iterations are reached or when changes to the response surface are below a predetermined threshold.

20120215511, Aug 23, 2012

Feb 17, 2011

13/029534

Pallav Sarma - San Ramon CA, US
Wen Chen - Danville CA, US

Chevron U.S.A. Inc. - San Ramon CA

G06G 7/48

703 10

A computer-implemented reservoir prediction system, method, and software are provided for updating simulation models of a subterranean reservoir. An ensemble of reservoir models representing a subterranean reservoir having non-Gaussian characteristics is provided, along with reservoir data from the subterranean reservoir used to condition the ensemble of reservoir models. For each of the reservoir models in the ensemble of reservoir models, a constrained optimization with equality constraints and inequality constraints are solved using a constrained Kernel Ensemble Kalman Filter to obtain a constrained optimal solution. The constrained optimal solutions are assembled to update the ensemble of reservoir models. The updated ensemble of reservoir models are consistent with the reservoir data provided from the subterranean reservoir and the non-Gaussian characteristics of the subterranean reservoir are preserved.

20130338983, Dec 19, 2013

Mar 15, 2013

13/843096

Pallav Sarma - San Ramon CA, US
Wen Hsiung Chen - Danville CA, US

Chevron U.S.A. Inc. - San Ramon CA

G06F 17/50

703 10

A computer-implemented method, system, and computer program product are disclosed for updating simulation models of a subterranean reservoir. An ensemble of reservoir models representing a subterranean reservoir having non-Gaussian characteristics is provided and the ensemble of reservoir models is updated using a subspace ensemble Kalman filter. Kemal principle component analysis parameterization or K-L expansion parameterization can be used to update the ensemble of reservoir models.

20180208467, Jul 26, 2018

Jan 26, 2017

15/417134

- Livermore CA, US
Juergen Biener - San Leandro CA, US
Patrick Campbell - Oakland CA, US
Wen Chen - Livermore CA, US
Julie A. Jackson - Livermore CA, US
Bryan D. Moran - Pleasanton CA, US
James Oakdale - Castro Valley CA, US
William Smith - Oakland CA, US
Christopher Spadaccini - Oakland CA, US
Marcus A. Worsley - Hayward CA, US
Xiaoyu Zheng - Blacksburg VA, US

C01B 32/182
B33Y 10/00
B33Y 70/00
B82Y 30/00
B82Y 40/00

In one embodiment, a composition of matter includes: a plurality of ligaments each independently comprising one or more layers of graphene; where the plurality of ligaments are arranged according to a deterministic three-dimensional (3D) pattern. In another embodiment, a method of forming a deterministic three-dimensional (3D) architecture of graphene includes: forming or providing a substrate structurally characterized by a predefined 3D pattern; forming one or more layers of metal on surfaces of the substrate; and forming one or more layers of graphene on surfaces of the metal.