Multivariate statistical contamination prediction using multiple sensors or data streams
Systems and methods for performing a contamination estimation of a downhole sample comprising at least a formation fluid and/or a filtrate are provided. A plurality of downhole signals are obtained from the downhole sample and one or more of the signals are conditioned. At least two of the condition...
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| creator | Jones, Christopher Michael Van Zuilekom, Anthony H Dai, Bin |
| description | Systems and methods for performing a contamination estimation of a downhole sample comprising at least a formation fluid and/or a filtrate are provided. A plurality of downhole signals are obtained from the downhole sample and one or more of the signals are conditioned. At least two of the conditioned signals or downhole signals are fused into a multivariate dataset. From optical and density properties of the formation fluid and/or of the filtrate, a multivariate calculation is performed to generate concentration profiles of the formation fluid and the filtrate. |
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| subjects | EARTH DRILLING EARTH DRILLING, e.g. DEEP DRILLING FIXED CONSTRUCTIONS INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING MINING OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS PHYSICS TESTING |
| title | Multivariate statistical contamination prediction using multiple sensors or data streams |
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