Patents by Inventor Abdullah Saleh Hussain Al-Yami

Abdullah Saleh Hussain Al-Yami 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).

  • In situ generation of nano-clay drilling fluid
    Patent number: 10053611
    Abstract: A method includes adding a clay to water to form a suspension of clay in water, the clay including pieces of clay having an average diameter of at least 2 ?m; adding a dispersant to the suspension of clay in water to form a drilling fluid; and injecting the drilling fluid into a well. In the drilling fluid, the dispersant interacts with the clay to form nanoscale particles of clay having an average diameter of less than 500 nm.
    Type: Grant
    Filed: March 22, 2016
    Date of Patent: August 21, 2018
    Assignee: Saudi Arabian Oil Company
    Inventors: Abdullah Saleh Hussain Al-Yami, Vikrant Bhavanishankar Wagle, Ziad Abdullrahman Saleh AlAbdullatif, Faramak Almassi, Abdulaziz S. Bubshait, Ali Mohammed Hussain Al Safran
  • INVERT EMULSION DRILLING FLUIDS
    Publication number: 20170292056
    Abstract: A composition includes an oil phase; a water phase emulsified in the oil phase; a viscosifier including a carbon chain and a polar group disposed along the carbon chain; and a hydrophobic nanomaterial having an average particle size of less than about 1 ?m. The hydrophobic nanomaterial including a silane or siloxane molecule having a nonpolar chain disposed on a surface thereof.
    Type: Application
    Filed: April 5, 2017
    Publication date: October 12, 2017
    Inventors: Vikrant Bhavanishankar Wagle, Abdullah Saleh Hussain Al-Yami
  • IN SITU GENERATION OF NANO-CLAY DRILLING FLUID
    Publication number: 20170275519
    Abstract: A method includes adding a clay to water to form a suspension of clay in water, the clay including pieces of clay having an average diameter of at least 2 ?m; adding a dispersant to the suspension of clay in water to form a drilling fluid; and injecting the drilling fluid into a well. In the drilling fluid, the dispersant interacts with the clay to form nanoscale particles of clay having an average diameter of less than 500 nm.
    Type: Application
    Filed: March 22, 2016
    Publication date: September 28, 2017
    Inventors: Abdullah Saleh Hussain Al-Yami, Vikrant Bhavanishankar Wagle, Ziad Abdullrahman Saleh AlAbdullatif, Faramak Almassi, Abdulaziz S. Bubshait, Ali Mohammed Hussain Al Safran
  • Expert systems for well completion using bayesian decision networks including a fluids damage and temperature effects uncertainty node, a perforation considerations uncertainty node, a perforation analysis uncertainty node, and a perforation type decision node
    Patent number: 9382791
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Grant
    Filed: July 24, 2015
    Date of Patent: July 5, 2016
    Assignees: Saudi Arabian Oil Company, The Texas A&M University System
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • Expert systems for well completion using Bayesian probabilities, open hole gravel pack types, gravel pack design details, open hole gravel packs, and completion types
    Patent number: 9376905
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Grant
    Filed: July 24, 2015
    Date of Patent: June 28, 2016
    Assignees: Saudi Arabian Oil Company, The Texas A&M University System
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • Expert systems for well completion using Bayesian probabilities, and a packers consequence node dependent on wellbore fluids, hydrocarbon types, completion fluids, packers decision, and treatment fluids nodes
    Patent number: 9371726
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Grant
    Filed: July 24, 2015
    Date of Patent: June 21, 2016
    Assignees: Saudi Arabian Oil Company, The Texas A&M University System
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • Expert system for well completion using bayesian probabilities and a consequences node dependent on the zonal isolation types, reliability level, cost level, productivity level, the completion type, and the junction classification decision nodes
    Patent number: 9366130
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Grant
    Filed: July 24, 2015
    Date of Patent: June 14, 2016
    Assignees: Saudi Arabian Oil Company, The Texas A&M University System
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • Expert systems for well completion using bayesian decision networks with a multilateral junction design, and a junction classification decision node
    Patent number: 9366129
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Grant
    Filed: July 24, 2015
    Date of Patent: June 14, 2016
    Assignees: Saudi Arabian Oil Company, The Texas A&M University System
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • Systems and methods for an expert system for well control using Bayesian intelligence
    Patent number: 9202175
    Abstract: Systems and methods are provided for a well control expert system that provides well control recommendations for a drilling system. The well control expert system includes a well control Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well control BDN model includes a circulation section, a well control practices section, and a troubleshooting section.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: December 1, 2015
    Assignees: The Texas A&M University System, Saudi Arabian Oil Company
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • Systems and methods for drilling fluids expert systems using bayesian decision networks
    Patent number: 9202169
    Abstract: Provided are systems and methods for drilling fluids expert systems using Bayesian decision networks to determine drilling fluid recommendations. A drilling fluids expert system includes a drilling fluids Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The drilling fluids BDN model includes a temperature ranges uncertainty node, a formation uncertainty node, a potential hole problems uncertainty node, and a drilling fluids decision node.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: December 1, 2015
    Assignees: Saudi Arabian Oil Company, The Texas A&M University System
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • SYSTEMS AND METHODS FOR EXPERT SYSTEMS FOR WELL COMPLETION USING BAYESIAN DECISION NETWORKS
    Publication number: 20150330202
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Application
    Filed: July 24, 2015
    Publication date: November 19, 2015
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • SYSTEMS AND METHODS FOR EXPERT SYSTEMS FOR WELL COMPLETION USING BAYESIAN DECISION NETWORKS
    Publication number: 20150332161
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Application
    Filed: July 24, 2015
    Publication date: November 19, 2015
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • SYSTEMS AND METHODS FOR EXPERT SYSTEMS FOR WELL COMPLETION USING BAYESIAN DECISION NETWORKS
    Publication number: 20150332159
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Application
    Filed: July 24, 2015
    Publication date: November 19, 2015
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • SYSTEMS AND METHODS FOR EXPERT SYSTEMS FOR WELL COMPLETION USING BAYESIAN DECISION NETWORKS
    Publication number: 20150332162
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Application
    Filed: July 24, 2015
    Publication date: November 19, 2015
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • SYSTEMS AND METHODS FOR EXPERT SYSTEMS FOR WELL COMPLETION USING BAYESIAN DECISION NETWORKS
    Publication number: 20150332160
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Application
    Filed: July 24, 2015
    Publication date: November 19, 2015
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • Systems and methods for expert systems for well completion using Bayesian decision models (BDNs), drilling fluids types, and well types
    Patent number: 9140112
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: September 22, 2015
    Assignees: Saudi Arabian Oil Company, The Texas A&M University System
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • DEVELOPMENT OF HIGH TEMPERATURE LOW DENSITY CEMENT
    Publication number: 20150068429
    Abstract: The invention provides a low density cement composition. The composition includes a cement component, a glass sphere component, a bentonite component, a fine calcium carbonate component, a medium calcium carbonate component, a silica sand component, and a silica flour component.
    Type: Application
    Filed: June 6, 2014
    Publication date: March 12, 2015
    Inventors: Abdullah Saleh Hussain Al-Yami, Ahmad Saleh Al-Humaidi, Salah Hamad AI-Saleh, Turki Thowini Mohammad AlSubaie
  • SYSTEMS AND METHODS FOR DRILLING FLUIDS EXPERT SYSTEMS USING BAYESIAN DECISION NETWORKS
    Publication number: 20140129486
    Abstract: Provided are systems and methods for drilling fluids expert systems using Bayesian decision networks to determine drilling fluid recommendations. A drilling fluids expert system includes a drilling fluids Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The drilling fluids BDN model includes a temperature ranges uncertainty node, a formation uncertainty node, a potential hole problems uncertainty node, and a drilling fluids decision node.
    Type: Application
    Filed: March 14, 2013
    Publication date: May 8, 2014
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • SYSTEMS AND METHODS FOR EXPERT SYSTEMS FOR WELL COMPLETION USING BAYESIAN DECISION NETWORKS
    Publication number: 20140124264
    Abstract: Systems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.
    Type: Application
    Filed: March 14, 2013
    Publication date: May 8, 2014
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert
  • SYSTEMS AND METHODS FOR AN EXPERT SYSTEM FOR WELL CONTROL USING BAYESIAN INTELLIGENCE
    Publication number: 20140129506
    Abstract: Systems and methods are provided for a well control expert system that provides well control recommendations for a drilling system. The well control expert system includes a well control Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well control BDN model includes a circulation section, a well control practices section, and a troubleshooting section.
    Type: Application
    Filed: March 14, 2013
    Publication date: May 8, 2014
    Applicants: Texas A&M University, Saudi Arabian Oil Company
    Inventors: Abdullah Saleh Hussain Al-Yami, Jerome Schubert