PATENT CLAIM ANALYSIS

Application Number: 16277470
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["324", "309000"]

Abstract:
The longitudinal relaxation times (T 1 ) of water and hydrocarbon inside porous media, such as rock from subsurface formations, behave differently when external magnetic fields vary. A Nuclear Magnetic Relaxation Dispersion (NMRD) profile from Fast Field Cycling Nuclear Magnetic Resonance (FFC-NMR) technique differentiates the type of fluids filling the pores. Different types of pores in a rock sample are filled with different fluids, water and hydrocarbon, and the absolute porosity and the pore size of each type of pores is determined.

Claim (Index 3):
A method of obtaining a measure of porosity and pore size in the rock sample from a subsurface hydrocarbon reservoir, comprising the steps of:\n obtaining nuclear magnetic resonance relaxation times of the rock sample fully saturated with water; conducting forced drainage of the rock sample by fully saturating the rock sample with hydrocarbon liquid to obtain irreducible water saturation of the rock sample; obtaining a nuclear magnetic resonance dispersion profile of the rock sample at irreducible water saturation; identifying pore types in the pores of the rock sample based on the obtained nuclear magnetic resonance dispersion profile of the rock sample at irreducible water saturation; determining porosity of the identified pore types based on the nuclear magnetic resonance relaxation times; and determining pore size of the identified pore types based on the nuclear magnetic resonance relaxation times.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 1.44615
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15913171', '15333938', '12993681', '15955061', '13971515']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6007638721446429
- 35 USC 102 Novelty (BERT): 0.6131541897572166
- Combined Prediction Score: 0.6020029039059003
- Mean Citation Score: 388.811434
- Max Citation Score: 561.7677
- Similarity Product: 532.1139329766334

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test