Abstract: A method for determining the geological levels of reservoirs contributing to a sample from a produced oil well, by means of chromatographic composition data, as well as other characteristics of the produced oil and pure samples of oil originating from each of the different geological levels contributing to the sample. The method provided by the invention may be advantageously implemented in a computer.

Abstract: Device and method for the detection and/or diagnosis of faults in a process, equipment and sensors used to measure and control variables of a process, either for single faults or multiple faults. The detection and/or diagnosis are performed on the basis of residual calculation between measured values and values calculated by a plurality of parallel linear models, built up from the existing correlations between the measured variables by the process sensors and by different equations that rule the process, such as mass and heat balances, quality relationships, etc. A fault in a model (i.e. the obtainment of a residual anomaly high by comparing the model estimation and the measurement), increases the probability that some of the parameters or faults associated to that model are failing. When all models in which a participating parameter fail or show a high probability of failure, the anomaly rate of said parameters is maximum.

Abstract: Device and method for the detection and/or diagnosis of faults in a process, equipment and sensors used to measure and control variables of a process, either for single faults or multiple faults. The detection and/or diagnosis are performed on the basis of residual calculation between measured values and values calculated by a plurality of parallel linear models, built up from the existing correlations between the measured variables by the process sensors and by different equations that rule the process, such as mass and heat balances, quality relationships, etc. A fault in a model (i.e. the obtainment of a residual anomaly high by comparing the model estimation and the measurement), increases the probability that some of the parameters or faults associated to that model are failing. When all models in which a participating parameter fail or show a high probability of failure, the anomaly rate of said parameters is maximum.

Abstract: A method and apparatus is provided for detecting and identifying faults in a process having a set of sensors, each of which produces an associated sensor output signal. The method and apparatus extracts the qualitative trend of each variable after detecting an abnormal situation. The set of variable trends constitutes the fault signature which can be compared to a previously generated signature database.