Lin Hu, 4027761 Denmar Dr, Warren, MI 48093

2012010, Apr 26, 2012

Oct 12, 2011

13/271727

Lin Ying Hu - Katy TX, US
Yongshe Liu - Katy TX, US

ConocoPhillips Company - Houston TX

G06F 17/10

703 2

A method for creating a modified realization of a geostatistical model of a subterranean hydrocarbon reservoir is described, which may be used in a history matching process. The modified realization is based on a current realization which is a function of a first uniform random number field. At least one further uniform random number field Uis created and a linear combination made of the first uniform random number field and the further uniform random number field or fields U, together with combination coefficients r to derive a modified non-uniform random number field V. A uniform score transformation procedure is then performed, e.g. using an empirical cumulative distribution function, on the modified non-uniform number field V, to derive a modified uniform random number field U. A modified realization of the model can then be derived from the uniform random number field U.

2012026, Oct 18, 2012

Mar 16, 2012

13/422070

Lin Ying Hu - Katy TX, US
Yong Zhao - Katy TX, US
Yongshe Liu - Katy TX, US

CONOCOPHILLIPS COMPANY - Houston TX

G06G 7/48

703 10

The invention relates to a method for history matching a facies geostatistical model using the ensemble Kalman filter (EnKF) technique. The EnKF is not normally appropriate for discontinuous facies models such as multiple point simulation (MPS). In the method of the invention, an ensemble of realizations are generated and then uniform vectors on which those realizations are based are transformed to Gaussian vectors before applying the EnKF to the Gaussian vectors directly. The updated Gaussian vectors are then transformed back to uniform vectors which are used to update the realizations. The uniform vectors may be vectors on which the realizations are based directly; alternatively each realization may be based on a plurality of uniform vectors linearly combined with combination coefficients. In this case each realization is associated with a uniform vector made up from the combination coefficients, and the combination coefficient vector is then transformed to Gaussian and updated using EnKF.

2013011, May 2, 2013

Jul 18, 2012

13/551801

Lin Ying Hu - Katy TX, US
Yongshe Liu - Katy TX, US

CONOCOPHILLIPS COMPANY - Houston TX

G06G 7/48
G06F 17/10

703 10

A multiple point simulation technique for generating a model realization of a subterranean formation having different facies is described which uses a non-stationary training image which reflects facies spatial trends across the formation. The realization is formed by sequentially populating each cell; a facies pattern of neighboring cells is identified for each cell in the model grid, and then corresponding facies patterns identified in the training image. The probability of a target cell in the model grid having a given facies is calculated based on the proportion of occurrences of the corresponding facies pattern where the central cell has that facies. The contribution of each corresponding facies pattern occurrence in the training image to this proportion or probability is weighted according to the distance between its central cell and the training image cell corresponding in location to the target cell in the model grid.

2018021, Jul 26, 2018

Mar 20, 2018

15/926274

- Armonk NY, US
Cheng Chi - Jersey City NJ, US
Lin Hu - Cohoes NY, US
Kafai Lai - Poughkeepsie NY, US
Chi-Chun Liu - Altamont NY, US
Jed W. Pitera - Portola Valley CA, US

H01L 21/768
H01L 21/02
G06F 17/50
H01L 23/528
H01L 23/522

A method for local pattern density control of a device layout used by graphoepitaxy directed self-assembly (DSA) processes includes importing a multi-layer semiconductor device design into an assist feature system and determining overlapping regions between two or more layers in the multi-layer semiconductor device design using at least one Boolean operation. A fill for assist features is generated to provide dimensional consistency of device features by employing the overlapping regions to provide placement of the assist features. An updated device layout is stored in a memory device.

2018001, Jan 11, 2018

Jul 11, 2016

15/206789

- Armonk NY, US
Cheng Chi - Jersey City NJ, US
Lin Hu - Cohoes NY, US
Kafai Lai - Poughkeepsie NY, US
Chi-Chun Liu - Altamont NY, US
Jed W. Pitera - Portola Valley CA, US

H01L 21/768
H01L 21/02
G06F 17/50
H01L 23/528
H01L 23/522

A method for local pattern density control of a device layout used by graphoepitaxy directed self-assembly (DSA) processes includes importing a multi-layer semiconductor device design into an assist feature system and determining overlapping regions between two or more layers in the multi-layer semiconductor device design using at least one Boolean operation. A fill for assist features is generated to provide dimensional consistency of device features by employing the overlapping regions to provide placement of the assist features. An updated device layout is stored in a memory device.

2017000, Jan 12, 2017

Jul 7, 2016

15/204606

- Houston TX, US
Lin Ying HU - Katy TX, US
Jianbing WU - Houston TX, US
Claude SCHEEPENS - Houston TX, US

E21B 49/00

Estimating in-situ stress of an interval having drilling response data is described. Estimating involves obtaining drilling response data of a data rich interval with available data. Estimating relative rock strength as a composite value that includes in-situ stress and rock strength. Estimating a Poisson's ratio from the relative rock strength. Generating a stress model that includes uniaxial strain model using the Poisson's ratio. Verifying the stress model with the available data. Applying the stress models in a non-data rich interval.

2017001, Jan 12, 2017

Jul 7, 2016

15/204249

- Houston TX, US
Lin Ying HU - Katy TX, US
Jianbing WU - Houston TX, US
Claude SCHEEPENS - Houston TX, US

G06F 17/50
E21B 41/00

The present disclosure describes a method that improves the long-range geobody continuity in Multiple Point Statistical methods, wherein the coarsest multi-grid level cells are simulated in a regular path, and the subsequent level cells are simulated in a random path as usual. The method is general and is applicable to different cases: such as hard data conditioning, soft data conditioning, non-stationarity modeling, 2 or more than 2 types of facies modeling, and 2D and 3D modeling. The method is particularly useful in reservoir modeling, especially for the channelized systems, but can be generally applied to other geological environments.

2015031, Nov 5, 2015

Apr 30, 2015

14/700617

- Houston TX, US
Lin Ying HU - Houston TX, US
Yongshe LIU - Houston TX, US

G06F 17/50
G06N 99/00
G06F 17/18

A method of computer modeling a reservoir using multiple-point statistics from non-stationary training images is provided. Some methods include: a) identifying a path via a computer processing machine to visit all nodes of a simulation field; b) setting a template for searching data event in the simulation field and for searching data event replicates in the non-stationary training image; c) defining a neighborhood in which the training image is sampled; d) formulating a kernel function that g(d) that decreases from 1 to 0 when distance d increases from 0 to infinity; e) for the current node in the simulation filed, identifying the data event covered by the template; f) randomly sampling the training image in the neighborhood of corresponding node in the training image until an exact or approximate replicate of the data event is found; g) computing distance d between central node of the replicate and simulation node; h) computing the kernel function; i) drawing a random number u between 0 and 1; j) assigning value of central node of the replicate to the simulation node if g(d) is greater than u; k) repeating steps f) to j) if g(d) is not greater than u; and repeating steps e) to k) until all simulation nodes are visited