Inventor

MADASU SRINATH

US55 patents

⚠️ This page may combine multiple inventors who share the name “MADASU SRINATH”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

MADASU SRINATH

LANDMARK GRAPHICS CORP

Automated rate of penetration optimization for drilling

Controlling wellbore equipment using a hybrid deep generative physics neural network

Hybrid physics-based and machine learning models for reservoir simulations

Multi-stage placement of material in a wellbore

AI/ML, distributed computing, and blockchained based reservoir management platform

Automated optimization of real-time data frequency for modeling drilling operations

Iterative real-time steering of a drill bit

Recurrent neural network model for bottomhole pressure and temperature in stepdown analysis

Neural network models for real-time optimization of drilling parameters during drilling operations

Simulated annealing accelerated optimization for real-time drilling

Hybrid neural network and autoencoder

Operating wellbore equipment using a data driven physics-based model

Real-time wellbore drilling with data quality control

Effective representation of complex three-dimensional simulation results for real-time operations

Event prediction using state-space mapping during drilling operations

Hybrid optimization of fault detection and interpretation

Model parameter reductions and model parameter selection to optimize execution time of reservoir management workflows

Flow simulator for generating reservoir management workflows and forecasts based on analysis of high-dimensional parameter data space

Petroleum reservoir behavior prediction using a proxy flow model

Pump systems and methods to improve pump load predictions

Controlling range constraints for real-time drilling

Multi-agent, multi-objective wellbore gas-lift optimization

Multi-well drilling optimization using robotics

Rate of penetration optimization for wellbores using machine learning

Automated concurrent path planning and drilling parameter optimization using robotics

Well path drilling trajectory and control for geosteering

Active reinforcement learning for drilling optimization and automation

Multi-objective completion parameters optimization for a wellbore using Bayesian optimization

Wellbore gas lift optimization

Stochastic realization of parameter inversion in physics-based empirical models

Wellbore trajectory control using reservoir property projection and optimization

Operating wellbore equipment using a distributed decision framework

HALLIBURTON ENERGY SERVICES INC

Fracture network model for simulating treatment of subterranean formations

Proppant transport model for well system fluid flow simulations

Geomechanical and geophysical computational model for oil and gas stimulation and production

Methods and systems of modeling fluid diversion treatment operations

Time-dependent spatial distribution of multiple proppant types or sizes in a fracture network

Time-dependent spatial distribution of proppant effects in a discrete fracture network

Modelling of fluid elasticity effects on proppant dynamics

Modeling fluid displacement in a well system environment

Real-time well bashing decision

Simulating well system fluid flow based on a pressure drop boundary condition

Determining wellbore parameters through analysis of the multistage treatments

Determining wellbore parameters through analysis of the multistage treatments

Real-time monitoring and control of diverter placement for multistage stimulation treatments

Optimizing production using design of experiment and reservoir modeling

Methodology for developing treatment fluid compositions to enhance near- and far-field diversion downhole

Real-time diversion control for stimulation treatments using fiber optics with fully-coupled diversion models

Real-time diversion control for stimulation treatments using tortuosity and step-down analysis

MADASU SRINATH

Evaluating fluid flow in a wellbore