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Dominic Camilleri Phones & Addresses

  • Katy, TX
  • 10807 Olympia Dr, Houston, TX 77042 (713) 266-1765 (713) 278-8289
  • 3048 Townsend Dr, Dallas, TX 75229
  • 10807 Olympia Dr, Houston, TX 77042 (817) 683-8869

Work

Position: Technicians and Related Support Occupations

Skills

Petroleum Engineering • Reservoir Management • Upstream • Field Development • Reservoir Engineering • Formation Evaluation • Gas • Petroleum • Reservoir Simulation • Energy Industry • Engineering

Emails

Industries

Oil & Energy

Resumes

Resumes

Dominic Camilleri Photo 1

Dominic Camilleri

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Location:
Houston, TX
Industry:
Oil & Energy
Skills:
Petroleum Engineering
Reservoir Management
Upstream
Field Development
Reservoir Engineering
Formation Evaluation
Gas
Petroleum
Reservoir Simulation
Energy Industry
Engineering

Publications

Us Patents

Systems And Methods For Utilizing Cell Based Flow Simulation Results To Calculate Streamline Trajectories

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US Patent:
20090150097, Jun 11, 2009
Filed:
Dec 4, 2008
Appl. No.:
12/328056
Inventors:
Dominic Camilleri - Houston TX, US
Assignee:
Landmark Graphics Corporation, a Halliburton Company - Houston TX
International Classification:
G01F 1/00
G06F 19/00
US Classification:
702 45
Abstract:
Systems and methods for utilizing finite difference simulation results to compute streamline trajectories, which may be used to analyze the results with other streamline techniques.

Systems And Methods For Two-Dimensional Domain Decomposition During Parallel Reservoir Simulation

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US Patent:
20140012557, Jan 9, 2014
Filed:
Dec 16, 2010
Appl. No.:
13/995081
Inventors:
Mehmet Tarman - Houston TX, US
Graham Christopher Fleming - Houston TX, US
Dominic Camilleri - Houston TX, US
Kefei Wang - katy TX, US
Assignee:
Landmark Graphics Corporation - Houston TX
International Classification:
G06F 17/50
US Classification:
703 10
Abstract:
Systems and methods for 2D domain decomposition during parallel reservoir simulation to balance the active cells in a reservoir model.

Estimating Reservoir Production Rates Using Machine Learning Models For Wellbore Operation Control

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US Patent:
20220205354, Jun 30, 2022
Filed:
Dec 29, 2020
Appl. No.:
17/136895
Inventors:
- Houston TX, US
Terry Wong - Spring TX, US
Yevgeniy Zagayevskiy - Calgary, CA
Dominic Camilleri - Katy TX, US
International Classification:
E21B 47/022
E21B 47/12
G06N 3/08
G01V 1/46
G01V 1/48
Abstract:
A system is described for estimating well production and injection rates of a subterranean reservoir using machine learning models. The system may include a processor and a non-transitory computer-readable medium comprising instructions that are executable by the processor to cause the processor to perform various operations. The processor may receive a set of static geological data about at least one subterranean reservoir in a subterranean formation. The processor may apply a trained convolutional neural network to the set of static geological data and data on initial states of dynamic reservoir properties to determine dynamic outputs of the subterranean reservoir. The processor may determine well data by extracting the set of static geological data and the dynamic outputs at well trajectories. And, the processor may apply a trained artificial neural network to the well data and subterranean grid information about the subterranean reservoir to generate estimated well production and injection rates.

Optimized Methodology For Automatic History Matching Of A Petroleum Reservoir Model With Ensemble Kalman Filter (Enkf)

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US Patent:
20210149077, May 20, 2021
Filed:
May 9, 2018
Appl. No.:
17/047152
Inventors:
- Houston TX, US
Hanzi MAO - College Station TX, US
Harsh Biren VORA - Houston TX, US
Hui DONG - Austin TX, US
Terry WONG - Spring TX, US
Dominic CAMILLERI - Katy TX, US
Charles Hai WANG - Houston TX, US
Courtney Leeann BECK - Denver CO, US
International Classification:
G01V 99/00
G06Q 10/06
G06Q 50/02
G06N 20/20
E21B 49/00
Abstract:
A method for history matching a reservoir model based on actual production data from the reservoir over time generates an ensemble of reservoir models using geological data representing petrophysical properties of a subterranean reservoir. Production data corresponding to a particular time instance is acquired from the subterranean reservoir. Normal score transformation is performed on the ensemble and on the acquired production data to transform respective original distributions into normal distributions. The generated ensemble is updated based on the transformed acquired production data using an ensemble Kalman filter (EnKF). The updated generated ensemble and the transformed acquired production data are transformed back to respective original distributions. Future reservoir behavior is predicted based on the updated ensemble.

Petroleum Reservoir Behavior Prediction Using A Proxy Flow Model

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US Patent:
20210027144, Jan 28, 2021
Filed:
May 15, 2018
Appl. No.:
16/981080
Inventors:
- Houston TX, US
Yevgeniy Zagayevskiy - Houston TX, US
Terry Wong - Spring TX, US
Dominic Camilleri - Katy TX, US
Charles Hai Wang - Houston TX, US
Courtney Leeann Beck - Houston TX, US
Hanzi Mao - College Station TX, US
Hui Dong - Austin TX, US
Harsh Biren Vora - Houston TX, US
International Classification:
G06N 3/04
G06N 3/08
G06F 30/20
G01V 99/00
Abstract:
Using production data and a production flow record based on the production data, a deep neural network (DNN) is trained to model a proxy flow simulation of a reservoir. The proxy flow simulation of the reservoir is performed, using an ensemble Kalman filter (EnKF), based on the trained DNN. The EnKF assimilates new data through updating a current ensemble to obtain history matching by minimizing a difference between a predicted production output from the proxy flow simulation and measured production data from a field. Using the updated current ensemble, a second proxy flow simulation of the reservoir is performed based on the trained DNN. The assimilating and the performing are repeated while new data is available for assimilating. Predicted behavior of the reservoir is determined based on the proxy flow simulation of the reservoir. An indication of the predicted behavior is provided to facilitate production of fluids from the reservoir.

Hybrid 3D Geocellular Representation Of Selected Natural Fracture Network Subsets

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US Patent:
20200309990, Oct 1, 2020
Filed:
Feb 29, 2016
Appl. No.:
15/781262
Inventors:
- Houston TX, US
Michael Loyd Brewer - Katy TX, US
Dominic Camilleri - Houston TX, US
Steven Ward - Austin TX, US
Assignee:
Landmark Graphics Corporation - Houston TX
International Classification:
G01V 99/00
E21B 47/00
E21B 49/00
G01V 1/48
Abstract:
Hybrid 3D geocellular grids are generated to represent a subset of a natural fracture network (“NFN”) directly in the simulation, while the remainder of the NFN is approximated by a multi-continuum formulation.

Simulating Fractured Reservoirs Using Multiple Meshes

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US Patent:
20180232950, Aug 16, 2018
Filed:
Sep 24, 2015
Appl. No.:
15/750783
Inventors:
- Houston TX, US
Steven B. Ward - Austin TX, US
Dominic Camilleri - Houston TX, US
Gerrick O. Bivins - Fulshear TX, US
International Classification:
G06T 17/20
G01V 99/00
G06F 17/17
G06T 17/05
Abstract:
The disclosed embodiments include a method, apparatus, and computer program product for generating multiple correlated meshes around complex and discrete fractures for the purpose of reservoir simulation. In an initial two-stage process, a 2.5-dimensional mesher algorithm, may be used in conjunction with an extended anisotropic geometry-adaptive refinement algorithm to produce, from a structured grid Earth Model, a refined reservoir model. Fractures may be modeled as a volumetric mesh that is independent of the refined reservoir model. Thereafter, the two independent, overlapping meshes are combined by forming matrix-matrix, fracture-fracture, and matrix-fracture connections to form a single model to allow rapid simulation of an extremely complex fracture network with sufficiently accurate results.

Static Earth Model Calibration Methods And Systems Using Tortuosity Evaluations

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US Patent:
20160209546, Jul 21, 2016
Filed:
Aug 29, 2013
Appl. No.:
14/913985
Inventors:
- Houston TX, US
Dominic Camilleri - Houston TX, US
Assignee:
LANDMARK GRAPHICS CORPORATION - Houston TX
International Classification:
G01V 99/00
G05B 17/02
Abstract:
At least some of the disclosed systems and methods obtain a static earth model having a three-dimensional grid with multiple cells. Further, at least some of the disclosed systems and methods determine a plurality of geobodies for the static earth model, each geobody comprising a plurality of connected cells. Further, at least some of the disclosed systems and methods compute one or more tortuosity values for at least one of the plurality of geobodies. Further, at least some of the disclosed systems and methods calibrate the static earth model based on the one or more computed tortuosity values. Further, at least some of the disclosed systems and methods use the calibrated static earth model as input to a flow simulator.
Dominic Camilleri from Katy, TX, age ~66 Get Report