PATENT CLAIM ANALYSIS

Application Number: 16056596
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-11
Patent Classification: ["702", "011000"]

Abstract:
Methods and systems for determining permeability, as a function of pore pressure, and porosity of a subsurface formation. The method includes positioning a sample in a sample assembly comprising of a gas and a pressure gauge, inside a pressure vessel comprising gas or liquid and a pressure gauge, measuring a first gas pressure, p i , of the sample inside the pressure vessel, applying a second gas pressure, p o , to the pressure vessel, the second gas pressure being greater than the first gas pressure, measuring a third gas pressure, p, at time, t, at location, x, from the inlet of sample inside the pressure vessel, determining a total gas mass per unit volume of the subsurface formation, m, and determining the permeability, k, of the subsurface formation as a function of pore pressure based at least in part on the first gas pressure, the second pressure, the third gas pressure, and the gas density, with a single test run.

Claim (Index 10):
The method of  claim 9 , further comprising:\n determining a transport parameter of the subsurface formation, D(p), using a first formula: D \ue8a0 ( p ) = \u222b p i p \ue89e \u03bb 2 \ue89e d \ue89e \ue89e m dp \ue89e dp dp d \ue89e \ue89e \u03bb where \u03bb is an independent variable calculated using the formula \u03bb=xt \u22121/2 ; and determining gas permeability k of the subsurface formation from D(p) using D \ue8a0 ( p ) = k \ue89e \ue89e \u03c1 \u03bc where \u03bc stands for gas viscosity, and \u03c1 for gas density.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 96.0
- Lexical Diversity: 2.79104
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15378305', '15151779', '15673996', '13053875', '12861485']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2167437234375158
- 35 USC 102 Novelty (BERT): 0.556765316543248
- Combined Prediction Score: 0.250745882748089
- Mean Citation Score: 273.81863
- Max Citation Score: 479.63556
- Similarity Product: 320.4446031270718

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