PATENT CLAIM ANALYSIS

Application Number: 15910909
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["345", "440000"]

Abstract:
A system and method for well log vectorization are described that assist geologists or other technicians to rapidly and accurately vectorize well log curves that are visually evident in a raster well log image. The resulting digital well log curves are instrumental for qualitative interpretation and quantitative analysis of geologic information measured along well bores. The system and method simplifies and makes more efficient and accurate the process of vectorizing well log curves that are displayed in a digital raster log image.

Claim (Index 1):
A system for digital well vectorization, comprising:\n a processor, a memory and a display; a digital well vectorizer being executed by the processor, the digital well vectorizer that receives a digital well log from a storage device, the digital well log having one or more points on a curve that is part of the digital well log; the digital well vectorizer having an interpolater that interpolates the one or more points on the curve to generate a vectorized well log having one or more curve sections, wherein the interpolator applies a cost function to the one or more points on the curve to generate the one or more curve sections; and the display displaying the vectorized well log having one or more curve sections to a user.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 90.0
- Lexical Diversity: 1.66667
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14958879', '12843822', '10935623', '15349543', '15015864']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.607326200593584
- 35 USC 102 Novelty (BERT): 0.5444337038915689
- Combined Prediction Score: 0.6010369509233825
- Mean Citation Score: 197.289478
- Max Citation Score: 393.17386
- Similarity Product: 386.2835984916688

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

Dataset: test