Patents by Inventor Tuanfeng Zhang

Tuanfeng Zhang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10113411
    Abstract: The present disclosure introduces methods and apparatus for acquiring a borehole image corresponding to a sidewall surface of a borehole that penetrates a subterranean formation, wherein the subterranean formation comprises structural elements and a varying geophysical characteristic. The borehole image comprises structure corresponding to the structural elements, texture corresponding to the varying geophysical characteristic, and coverage gaps (605) in which the structure and texture are missing. Trends corresponding to the structure are extracted from the borehole image. Missing structure within the gaps (605) is reconstructed based on the extracted trends. Missing texture within the gaps is simulated based on the borehole image and the reconstructed structure. A fullbore image is constructed based on the borehole image, the reconstructed structure within the gaps, and the simulated texture within the gaps.
    Type: Grant
    Filed: June 10, 2014
    Date of Patent: October 30, 2018
    Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Andriy Gelman, Tuanfeng Zhang, Neil F. Hurley
  • Patent number: 9581723
    Abstract: Methods for characterizing a geological formation, the methods include retrieving measured data provided by a measuring tool along one or more logged borehole length for a borehole, another borehole or both in order to produce a borehole imaging log. Selecting depth-defined intervals of the borehole imaging log as training images for inputting in a multi-point geostatistical model. Determining pattern based simulations for each training image using a pixel-based template of the multi-point geostatistical model so as to obtain training image patterns. Using the pattern based simulation of each training image to assign to each of the training image a corresponding training image pattern. Constructing from the training image patterns one or more fullbore image log of a borehole wall of the borehole. Repeat the second to fourth steps through the one or more logged borehole length in order to construct fullbore images from successive, adjacent training images.
    Type: Grant
    Filed: April 10, 2009
    Date of Patent: February 28, 2017
    Assignee: Schlumberger Technology Corporation
    Inventors: Neil Francis Hurley, Tuanfeng Zhang
  • Publication number: 20160130930
    Abstract: The present disclosure introduces methods and apparatus for acquiring a borehole image corresponding to a sidewall surface of a borehole that penetrates a subterranean formation, wherein the subterranean formation comprises structural elements and a varying geophysical characteristic. The borehole image comprises structure corresponding to the structural elements, texture corresponding to the varying geophysical characteristic, and coverage gaps (605) in which the structure and texture are missing. Trends corresponding to the structure are extracted from the borehole image. Missing structure within the gaps (605) is reconstructed based on the extracted trends. Missing texture within the gaps is simulated based on the borehole image and the reconstructed structure. A fullbore image is constructed based on the borehole image, the reconstructed structure within the gaps, and the simulated texture within the gaps.
    Type: Application
    Filed: June 10, 2014
    Publication date: May 12, 2016
    Inventors: Andriy Gelman, Tuanfeng Zhang, Neil F. Hurley
  • Patent number: 9134457
    Abstract: Methods for upscaling digital rock modeling data are described. Core-plug samples for pore-scale modeling are chosen using whole-core mini-permeability grids and conventional CT scans. Pore models or pore-network models are used for flow modeling. Borehole-scale models use MPS (Multi-Point Statistics) to combine mini-permeability grids and conventional CTscans of whole core with electrical borehole images to create 3D numerical pseudocores for each RRT (Reservoir Rock Type). Effective SCAL properties computed from various MPS borehole-scale realizations or models are used to populate interwell-scale models for each RRT. Effective properties computed from flow simulations for interwell volumes are used to populate full-field scale models. At the full-field scale, outcrop analogs, sequence stratigraphy, forward stratigraphic models, diagenetic models, and basin-scale models are combined using MPS to improve flow simulations.
    Type: Grant
    Filed: February 28, 2011
    Date of Patent: September 15, 2015
    Assignee: Schlumberger Technology Corporation
    Inventors: Neil Francis Hurley, Weishu Zhao, Tuanfeng Zhang
  • Publication number: 20150134255
    Abstract: Methods of generating structural models of highly deviated or horizontal wells may be generated from the measurement of true stratigraphic thickness in three dimensions (TST3D). In one aspect, methods may include generating a structural model from one or more deviation surveys of a horizontal well, one or more single channel log measurements, and a three-dimensional reference surface.
    Type: Application
    Filed: November 7, 2014
    Publication date: May 14, 2015
    Inventors: Tuanfeng Zhang, Neil F. Hurley, Ridvan Akkurt, David McCormick, Shu Zhang
  • Patent number: 8908925
    Abstract: This subject disclosure describes methods to build and/or enhance 3D digital models of porous media by combining high- and low-resolution data to capture large and small pores in single models. High-resolution data includes laser scanning fluorescence microscopy (LSFM), nano computed tomography (CT) scans, and focused ion beam-scanning electron microscopy (FIB-SEM). Low-resolution data includes conventional CT scans, micro computed tomography scans, and synchrotron computed tomography scans.
    Type: Grant
    Filed: February 28, 2012
    Date of Patent: December 9, 2014
    Assignee: Schlumberger Technology Corporation
    Inventors: Neil F. Hurley, Tuanfeng Zhang, Weishu Zhao, Mustafa Al Ibrahim
  • Patent number: 8838425
    Abstract: A method for generating one or more geological models for oil field exploration. The method includes receiving one or more well facies logs, a vertical facies proportion curve, a lateral proportion map, a variogram model and a global target histogram. The method then includes generating a facies probability cube using a modified Sequential Gaussian Simulation (SGSIM) algorithm, the well facies logs, the vertical facies proportion curve, the lateral proportion map and the variogram model. After generating the facies probability cube, the method includes matching the facies probability cube to the global histogram and generating the geological models based on the matched facies probability cube.
    Type: Grant
    Filed: July 16, 2010
    Date of Patent: September 16, 2014
    Assignee: Schlumberger Technology Corporation
    Inventors: Tuanfeng Zhang, Ting Li, Harish Krishnamurthy
  • Patent number: 8725477
    Abstract: Methods and systems for creating a numerical pseudocore model, comprising: a) obtaining logging data from a reservoir having depth-defined intervals of the reservoir, and processing the logging data into interpretable borehole image data having unidentified borehole image data; b) examining one of the interpretable borehole image data, other processed logging data or both to generate the unidentified borehole image data, processing the generated unidentified borehole image data into the interpretable borehole image data to generate warped fullbore image data; c) collecting one of a core from the reservoir, the logging data or both and generating a digital core data from one of the collected core, the logging data or both such that generated digital core data represents features of one or more depth-defined interval of the reservoir; and d) processing generated digital core data, interpretable borehole image data or the logging data to generate realizations of the numerical pseudocore model.
    Type: Grant
    Filed: April 8, 2009
    Date of Patent: May 13, 2014
    Assignee: Schlumberger Technology Corporation
    Inventors: Tuanfeng Zhang, Neil Francis Hurley, Weishu Zhao
  • Publication number: 20130338978
    Abstract: A method for generating one or more geological models for oil field exploration. The method includes receiving one or more well facies logs, a vertical facies proportion curve, a lateral proportion map, a variogram model and a global target histogram. The method then includes generating a facies probability cube using a modified Sequential Gaussian Simulation (SGSIM) algorithm, the well facies logs, the vertical facies proportion curve, the lateral proportion map and the variogram model. After generating the facies probability cube, the method includes matching the facies probability cube to the global histogram and generating the geological models based on the matched facies probability cube.
    Type: Application
    Filed: August 15, 2013
    Publication date: December 19, 2013
    Applicant: Schlumberger Technology Corporation
    Inventors: Tuanfeng Zhang, Ting Li, Harish Krishnamurthy
  • Patent number: 8311788
    Abstract: Methods for characterizing a sample of porous media using a measuring device along with a multipoint statistical (MPS) model. Retrieving a set of reflected measured data provided by the measuring device of a surface of the sample in order to produce a sample imaging log, wherein the retrieved set of measured data is communicated to a processor. Selecting depth-defined surface portions of the sample from the sample imaging log as a training image for inputting in the MPS model. Determining pattern based simulations from the training image using one of a pixel-based template which is applied to the training image. Constructing from the pattern based simulations a complete-sampling image log of surface portions of the sample. Repeat the above steps in order to construct three dimensional (3D) sample images from stacked successive pattern based simulations so as to construct at least one 3D model of the sample.
    Type: Grant
    Filed: July 1, 2009
    Date of Patent: November 13, 2012
    Assignee: Schlumberger Technology Corporation
    Inventors: Neil Francis Hurley, Tuanfeng Zhang, Guangping Xu, Lili Xu, Mirna Slim
  • Patent number: 8311779
    Abstract: A multipoint geostatistics computer-implemented method for modeling of discrete properties, comprising acquiring by a computer software program a training image made from at least one dimensional array of discrete property values, the values depicting the spatial relationship and variability considered to be typical of a n-dimensional surface to be modeled; constructing a search tree, the tree representing the probability of occurrence of combinations of values of a discrete property value, the construction being performed by counting these occurrences in the training image. The non-branching sequences of the search tree are compressed to what essentially amounts to a single node, by keeping only the relevant information the sequences contain.
    Type: Grant
    Filed: December 22, 2008
    Date of Patent: November 13, 2012
    Assignee: Schlumberger Technology Corporation
    Inventors: Stein Inge Pedersen, Tuanfeng Zhang, Christen Knudby, David S McCormick
  • Publication number: 20120281883
    Abstract: This subject disclosure describes methods to build and/or enhance 3D digital models of porous media by combining high- and low-resolution data to capture large and small pores in single models. High-resolution data includes laser scanning fluorescence microscopy (LSFM), nano computed tomography (CT) scans, and focused ion beam-scanning electron microscopy (FIB-SEM). Low-resolution data includes conventional CT scans, micro computed tomography scans, and synchrotron computed tomography scans.
    Type: Application
    Filed: February 28, 2012
    Publication date: November 8, 2012
    Inventors: NEIL F. HURLEY, TUANFENG ZHANG, WEISHU ZHAO, MUSTAFA AL IBRAHIM
  • Publication number: 20120277996
    Abstract: The subject disclosure relates to methods for determining representative element areas and volumes in porous media. Representative element area (REA) is the smallest area that can be modeled to yield consistent results, within acceptable limits of variance of the modeled property. Porosity and permeability are examples of such properties. In 3D, the appropriate term is representative element volume (REV). REV is the smallest volume of a porous media that is representative of the measured parameter.
    Type: Application
    Filed: February 28, 2012
    Publication date: November 1, 2012
    Inventors: NEIL F. HURLEY, WEISHU ZHAO, TUANFENG ZHANG, JOHANNES J. BUITING, NICOLAS X. LESEUR, MUSTAFA AL IBRAHIM
  • Publication number: 20120221306
    Abstract: Methods for upscaling digital rock modeling data are described. Core-plug samples for pore-scale modeling are strategically chosen using whole-core minipermeability grids and conventional CT (Computed Tomography) scans. Pore models or pore-network models are used for flow modeling. Computed numerical SCAL (Special Core AnaLysis) properties are validated using laboratory-derived data, then they are used to populate borehole-scale models. Borehole-scale models use MPS (Multi-Point Statistics) to combine minipermeability grids and conventional CTscans of whole core with electrical borehole images to create 3D numerical pseudocores for each RRT (Reservoir Rock Type). SCAL properties determined from pore-scale models are distributed for each petrophysical facies in numerical pseudocores. Effective SCAL properties computed from various MPS borehole-scale realizations or models are used to populate interwell-scale models for each RRT.
    Type: Application
    Filed: February 28, 2011
    Publication date: August 30, 2012
    Applicant: Schlumberger Technology Corporation
    Inventors: Neil Francis Hurley, Weishu Zhao, Tuanfeng Zhang
  • Publication number: 20110231164
    Abstract: A method for generating one or more geological models for oil field exploration. The method includes receiving one or more well facies logs, a vertical facies proportion curve, a lateral proportion map, a variogram model and a global target histogram. The method then includes generating a facies probability cube using a modified Sequential Gaussian Simulation (SGSIM) algorithm, the well facies logs, the vertical facies proportion curve, the lateral proportion map and the variogram model. After generating the facies probability cube, the method includes matching the facies probability cube to the global histogram and generating the geological models based on the matched facies probability cube.
    Type: Application
    Filed: July 16, 2010
    Publication date: September 22, 2011
    Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Tuanfeng Zhang, Ting Li, Harish Krishnamurthy
  • Publication number: 20110004448
    Abstract: Methods for characterizing a sample of porous media using a measuring device along with a multipoint statistical (MPS) model. Retrieving a set of reflected measured data provided by the measuring device of a surface of the sample in order to produce a sample imaging log, wherein the retrieved set of measured data is communicated to a processor. Selecting depth-defined surface portions of the sample from the sample imaging log as a training image for inputting in the MPS model. Determining pattern based simulations from the training image using one of a pixel-based template which is applied to the training image. Constructing from the pattern based simulations a complete-sampling image log of surface portions of the sample. Repeat the above steps in order to construct three dimensional (3D) sample images from stacked successive pattern based simulations so as to construct at least one 3D model of the sample.
    Type: Application
    Filed: July 1, 2009
    Publication date: January 6, 2011
    Applicant: Schlumberger Technology Corporation
    Inventors: Neil Francis Hurley, Tuanfeng Zhang, Guangping Xu, Lili Xu, Mirna Slim
  • Publication number: 20110004447
    Abstract: Methods for characterizing a three-dimensional (3D) sample of porous media using at least one measuring tool that retrieves two or more set of transmitted measured data at two or more depths of the sample, such that the retrieved two or more set of transmitted measured data is communicated to a processor and computed in at least one multi-point statistical (MPS) model.
    Type: Application
    Filed: July 1, 2009
    Publication date: January 6, 2011
    Applicant: Schlumberger Technology Corporation
    Inventors: Neil Francis Hurley, Tuanfeng Zhang, Weishu Zhao, Guangping Xu
  • Publication number: 20090262603
    Abstract: Methods for characterizing a geological formation, the methods include retrieving measured data provided by a measuring tool along one or more logged borehole length for a borehole, another borehole or both in order to produce a borehole imaging log. Selecting depth-defined intervals of the borehole imaging log as training images for inputting in a multi-point geostatistical model. Determining pattern based simulations for each training image using a pixel-based template of the multi-point geostatistical model so as to obtain training image patterns. Using the pattern based simulation of each training image to assign to each of the training image a corresponding training image pattern. Constructing from the training image patterns one or more fullbore image log of a borehole wall of the borehole. Repeat the second to fourth steps through the one or more logged borehole length in order to construct fullbore images from successive, adjacent training images.
    Type: Application
    Filed: April 10, 2009
    Publication date: October 22, 2009
    Applicant: Schlumberger Technology Corporation
    Inventors: Neil Francis Hurley, Tuanfeng Zhang
  • Publication number: 20090164182
    Abstract: A multipoint geostatistics computer-implemented method for modeling of discrete properties, comprising acquiring by a computer software program a training image made from at least one dimensional array of discrete property values, the values depicting the spatial relationship and variability considered to be typical of a n-dimensional surface to be modeled; constructing a search tree, the tree representing the probability of occurrence of combinations of values of a discrete property value, the construction being performed by counting these occurrences in the training image. The non-branching sequences of the search tree are compressed to what essentially amounts to a single node, by keeping only the relevant information the sequences contain.
    Type: Application
    Filed: December 22, 2008
    Publication date: June 25, 2009
    Applicant: Schlumberger Technology Corporation
    Inventors: Stein Inge Pedersen, Tuanfeng Zhang, Christen Knudby, David S. McCormick