Srinath Madasu
53Patents
4h-index
61Co-inventors
65Inventor score
Filing activity: Jun 22, 2012 → Oct 26, 2021
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9995125B2 | Fracture network model for simulating treatment of subterranean formations | Fixed Constructions | 33 | Active |
| US9367653B2 | Proppant transport model for well system fluid flow simulations | Physics | 12 | Active |
| US9617833B2 | Evaluating fluid flow in a wellbore | Fixed Constructions | 10 | Active |
| US10241232B2 | Geomechanical and geophysical computational model for oil and gas stimulation and production | Physics | 5 | Active |
| US9416631B2 | Modeling fluid displacement in a well system environment | Physics | 3 | Active |
| US11151454B2 | Multi-stage placement of material in a wellbore | Fixed Constructions | 3 | Active |
| US11396804B2 | Automated rate of penetration optimization for drilling | Physics | 3 | Active |
| US11639657B2 | Controlling wellbore equipment using a hybrid deep generative physics neural network | Fixed Constructions | 2 | Active |
| US11560776B2 | Methods and systems of modeling fluid diversion treatment operations | Physics | 1 | Active |
| US10989034B2 | Time-dependent spatial distribution of proppant effects in a discrete fracture network | Physics | 1 | Active |
| US10001000B2 | Simulating well system fluid flow based on a pressure drop boundary condition | Physics | 1 | Active |
| US11441404B2 | Recurrent neural network model for bottomhole pressure and temperature in stepdown analysis | Physics | 1 | Active |
| US11492892B2 | Automated optimization of real-time data frequency for modeling drilling operations | Fixed Constructions | 1 | Active |
| US11396800B2 | Time-dependent spatial distribution of multiple proppant types or sizes in a fracture network | Fixed Constructions | 1 | Active |
| US11619115B2 | Real-time monitoring and control of diverter placement for multistage stimulation treatments | Fixed Constructions | 1 | Active |
| US11643913B2 | Hybrid physics-based and machine learning models for reservoir simulations | Physics | 1 | Active |
| US10984156B2 | Modelling of fluid elasticity effects on proppant dynamics | Physics | 1 | Active |
| US11319793B2 | Neural network models for real-time optimization of drilling parameters during drilling operations | Physics | 1 | Active |
| US11414959B2 | Operating wellbore equipment using a data driven physics-based model | Fixed Constructions | 0 | Active |
| US11702931B2 | Real-time well bashing decision | Fixed Constructions | 0 | Active |
| US12050981B2 | Petroleum reservoir behavior prediction using a proxy flow model | Fixed Constructions | 0 | Active |
| US11591895B2 | Simulated annealing accelerated optimization for real-time drilling | Fixed Constructions | 0 | Active |
| US12360274B2 | AI/ML, distributed computing, and blockchained based reservoir management platform | Electricity | 0 | Active |
| US11488025B2 | Hybrid neural network and autoencoder | Physics | 0 | Active |
| US9810045B2 | Connection conditions for modeling fluid transport in a well system environment | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.