PATENT CLAIM ANALYSIS

Application Number: 16135100
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["250", "269600"]

Abstract:
Estimating a correction factor from logs of compensated thermal neutron porosity measurements, including modeling each measurement of the compensated thermal neutron porosity measurements of the log as resulting from at least: i) a first contribution correlated to an absorbance of a first portion of neutrons produced by irradiation of the volume attributable to interactions in the volume indicative of pore space in the matrix, and ii) a second contribution correlated to an absorbance of a second portion of the neutrons attributable to trace elements of at least one dominant neutron absorber in the formation; iii) a third contribution correlated to an absorbance of a third portion of the neutrons attributable to dry minerals in the matrix other than dominant neutron absorbers; and estimating the second contribution and determining the correction factor from the second contribution; and correcting a compensated thermal neutron porosity measurement using the correction factor.

Claim (Index 12):
The method of  claim 5 , comprising generating a simulated theoretical clean compensated neutron response and a simulated theoretical clean compensated neutron response; comparing the simulated theoretical clean compensated neutron response with the log of compensated thermal neutron porosity measurements to estimate the second contribution of the log of compensated thermal neutron porosity measurements; and comparing the simulated theoretical clean compensated neutron response with the measurements of the second log to estimate the second contribution of the second log.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 97.0
- Lexical Diversity: 2.34328
- Patent Class: 250.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15599214', '14960429', '12741560', '11634543', '12741076']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7213849935419017
- 35 USC 102 Novelty (BERT): 0.5013723387172453
- Combined Prediction Score: 0.699383728059436
- Mean Citation Score: 248.475354
- Max Citation Score: 268.2376
- Similarity Product: 191.020876191473

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test