| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_989ecca69fc47fadd546bf9a0db59629 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2201-12 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/E21B49-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-94
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01V8-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-3577
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-126
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-122
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-2823
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/E21B49-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate |
2018-07-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_76d81a93dacab420f97539dfb4a842a8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e2191cb54ad82688daf2b97916ac0175
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3fc00f89ca66fce86f444a2bc0d63776
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_95a70e2aa76d155bce49b724d50b5279
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1467bc2ec15493df20217881806dfab3 |
| publicationDate |
2020-01-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2020009696-A1 |
| titleOfInvention |
Fluid optical database reconstruction methods and applications thereof |
| abstract |
Mutual-complementary modeling and testing methods are disclosed that can enable validated mapping from external oil and gas information sources to existing fluid optical databases through the use of forward and inverse neural networks. The forward neural networks use fluid compositional inputs to produce fluid principal spectroscopy components (PSC). The inverse neural networks apply PSC inputs to estimate fluid compositional outputs. The fluid compositional data from external sources can be tested through forward models first. The produced PSC outputs are then entered as inputs to inverse models to generate fluid compositional data. The degree of matching between reconstructed fluid compositions and the original testing data suggests which part of the new data can be integrated directly into the existing database as validated mapping. The applications of using PSC inputs to reconstruct infrared spectra and estimate oil-based-mud (OBM) contamination with endmember spectral fingerprints are also included. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114219157-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114219157-A |
| priorityDate |
2018-07-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |