Abstract: Systems and methods for tracking and remediating oil in a body of water include monitoring the data from the satellite for indications of an oil spill. In response to determining that the indications of oil spill are present, assessing whether criteria for triggering a forecasting process are met. In response to determining that criteria for triggering a forecasting process have been met, running a forecasting process including: (i) delineating polygons where oil is determined to be present based on the data from the satellite; (ii) receiving meteorological and hydrodynamic data for the body of water; (iii) running a trajectory model using the polygons as initial conditions for the oil spill to forecast future locations of the oil spill; and sending instructions to a vessel in the body of water.

Abstract: Systems and methods for identifying an oil spill in a body of water include obtaining an image of the body of water from a multispectral satellite for a first time period and a second time period. One or more features are extracted the from the image to form a first feature vector for the first time period and a second feature vector for the second time period with the one or more features representing a physical feature of a surface of the body of water. The feature vectors are processed using a machine learning model trained with labeled image data representing instances of oil on the surface of the body of water to determine the type and location of oil in the body of water.

Abstract: Systems and methods for quantifying and remediating an oil spill in a body of water can include obtaining a synthetic aperture radar image of the body of water and/or a multispectral image of the body of water. One or more features representing a physical feature of a surface of the body of water can be extracted from the image(s). The extracted features can be processed using a machine learning model trained with labeled image data representing instances of oil on the surface of the body of water to associate oil appearances code with portions of the surface of the water body based on the extracted features. Based on the processing, areas of the body of water associated with each oil appearance code as well as locations and volumes of oil in the body of water can be determined.

Abstract: A method of estimating fetal electrocardiogram (FECG) signals utilizes a plurality of ECG signals measured along the mother's abdomen. The method includes defining an MECG (ECG) dictionary of symbols and projecting the plurality of abdominal ECG signals onto the MECG dictionary to estimate MECG signals within each of the plurality of abdominal ECG signals. The estimated MECG signals are subtracted from the plurality of measured abdominal ECG signals to estimate FECG signals and the plurality of estimated FECG signals are combined to generate a representation of the FECG source signal.

Abstract: Data from crosswell seismic surveys is processed to provide crosswell time-lapse data to map fluid changes in a reservoir where time-lapse or 4D seismic data is unavailable or unreliable, such as in onshore reservoirs. The resultant processing results provide quantitative information for history matching purposes using a probabilistic approach to take in account uncertainties in the geological model and reduce uncertainties in reservoir production forecasts.

Abstract: A method of estimating fetal electrocardiogram (FECG) signals utilizes a plurality of ECG signals measured along the mother's abdomen. The method includes defining an MECG (ECG) dictionary of symbols and projecting the plurality of abdominal ECG signals onto the MECG dictionary to estimate MECG signals within each of the plurality of abdominal ECG signals. The estimated MECG signals are subtracted from the plurality of measured abdominal ECG signals to estimate FECG signals and the plurality of estimated FECG signals are combined to generate a representation of the FECG source signal.

Abstract: Systems and methods for reservoir resistivity characterization are provided. In various aspects, an integrated framework for the estimation of Archie's parameters for a strongly heterogeneous reservoir utilizing the dynamics of the reservoir are provided. The framework can encompass a Bayesian estimation/inversion method for estimating the reservoir parameters, integrating production and time lapse formation conductivity data to achieve a better understanding of the subsurface rock conductivity properties and hence improve water saturation imaging.

Abstract: A multi-data reservoir history matching and uncertainty quantification framework is provided. The framework can utilize multiple data sets such as production, seismic, electromagnetic, gravimetric and surface deformation data for improving the history matching process. The framework can consist of a geological model that is interfaced with a reservoir simulator. The reservoir simulator can interface with seismic, electromagnetic, gravimetric and surface deformation modules to predict the corresponding observations. The observations can then be incorporated into a recursive filter that subsequently updates the model state and parameters distributions, providing a general framework to quantify and eventually reduce with the data, uncertainty in the estimated reservoir state and parameters.

Abstract: A system for and a method of wirelessly monitoring one or more patients can include transmitting ultra-wideband pulses toward the one or more patients, receiving ultra-wideband signals, and sampling the ultra-wideband signals. Sampling the ultra-wideband pulses can be performed with a sample rate that is less than the Nyquist rate. Impulse response can be estimated and/or recovered by exploiting sparsity of the impulse response.

Abstract: A weather measurement system can include an aerial vehicle. An array of accelerometers can be disposed across the surface of the aerial vehicle. The accelerometers can be configured to measure raindrops impacting the surface. The measurements can include number per unit time and intensity. The system can include a processing unit configured to receive measurement data from the array and to process the measurement data into preprocessed data.

Abstract: Data from crosswell seismic surveys is processed to provide crosswell time-lapse data to map fluid changes in a reservoir where time-lapse or 4D seismic data is unavailable or unreliable, such as in onshore reservoirs. The resultant processing results provide quantitative information for history matching purposes using a probabilistic approach to take in account uncertainties in the geological model and reduce uncertainties in reservoir production forecasts.

Abstract: A system for and a method of wirelessly monitoring one or more patients can include transmitting ultra-wideband pulses toward the one or more patients, receiving ultra-wideband signals, and sampling the ultra-wideband signals. Sampling the ultra-wideband pulses can be performed with a sample rate that is less than the Nyquist rate. Impulse response can be estimated and/or recovered by exploiting sparsity of the impulse response.