A system for creating a 4D guided history matched model may include a network of saturation sensors and a model processing hub. The saturation sensors may identify water production rates. The model processing hub may be in communication with the network of saturation sensors and may include a reservoir simulation model and a processor. The processor of the model processing hub may build a 4D saturation model, compare the reservoir simulation model and the 4D saturation model to generate a saturation Δ, calculate updated permeability distribution data, and update the reservoir simulation model with the updated permeability distribution data to create the 4D guided history matched model. A method of creating a 4D guided history matched model may include comparing a reservoir simulation model and a 4D saturation model, calculating updated permeability distribution data, and updating the reservoir simulation model to create the 4D guided history matched model.

A watershed modeling and assessment system may input, process, analyze, and store natural resource data in the characterization, analysis, and assessment of watershed and natural river and stream systems and to develop hydraulic models of flow in open channel systems. The system may enable analysis of overall watershed reach information and analysis, survey data, longitudinal profiles, cross-sections, channel material or substrate characterization, images, flow measurements, and Rosgen classification (stream type). The system may also enable development of detailed hydraulic models utilizing equations, techniques, and methods by using measured data, derived data, and estimated data. The system may also enable reports based on each of these individual components.

A subsurface monitoring system and method is provided that includes a sensor array and a monitoring system in communication with the array. The sensor array may include several sensors, such as subsurface temperature sensors, water-level sensors, and oxidation reduction potential sensors may be disposed in a vertical and/or horizontal fence through the subsurface of the monitored site. The sensor array may measure, collect, and analyze the subsurface conditions and provide the measurements to a monitoring system. The monitoring system may provide access the measurements via a user interface for analysis of the measurements. In addition, the monitoring system may process the measurements to generate one or more graphs of information for better understanding of the conditions of the subsurface of the monitored site.

A method of reversing aquifer parameter with skin effect is used for reversing an aquifer parameter of a monitoring well and a surrounding area thereof. The method includes steps of: performing a slug test on the monitoring well, and measuring a first water level change of the monitoring well by a water level meter; setting a parameter assembly having a plurality of hypothetical aquifer parameters; converting the hypothetical aquifer parameters through a programming language, and then respectively calculating a plurality of second water level changes; respectively calculating a plurality of function values through an objective function according to the first water level change and the second water level changes, and selecting one hypothetical aquifer parameter corresponding to one function value that meets a convergence condition from the function values; taking the hypothetical aquifer parameter that meets the convergence condition as the aquifer parameter.

A method of reversing aquifer parameter with skin effect is used for reversing an aquifer parameter of a monitoring well and a surrounding area thereof. The method includes steps of: performing a slug test on the monitoring well, and measuring a first water level change of the monitoring well by a water level meter; setting a parameter assembly having a plurality of hypothetical aquifer parameters; converting the hypothetical aquifer parameters through a programming language, and then respectively calculating a plurality of second water level changes; respectively calculating a plurality of function values through an objective function according to the first water level change and the second water level changes, and selecting one hypothetical aquifer parameter corresponding to one function value that meets a convergence condition from the function values; taking the hypothetical aquifer parameter that meets the convergence condition as the aquifer parameter.

The invention relates to a method for quantifying porous media and to the analytical particles specially designed therefor and to the use thereof, for example in order to determine the water permeability of rocks as a prerequisite for the development of criteria for ground water movement or the material characterization of porous materials or rock layers or for monitoring chemical, biological and/or biotechnological reactors, water tanks, water reservoirs and water line systems or in medical in-vivo methods.

Embodiments of the invention are directed to a method of determining underground liquid content (e.g., water, sewage, etc.). Embodiments may include: receiving, from a radiofrequency radiation sensor, a main scan of an area, the main scan may include reflections from the area at RF range, and receiving typical roughness values of one or more types of water sources. Embodiments may further include: filtering from the main scan undesired water source types according to their typical roughness values, identifying a desired type of water source in the filtered main scan and receiving from the RF radiation sensor a set of scans of the area, each scan of the area includes reflections in the RF range taken prior to the receiving of the main scan. Embodiments may include calculating the underground water content at locations in the area based on the identified first type of water source and the received set of scans.

Embodiments of the invention are directed to a method of determining underground liquid content (e.g., water, sewage, etc.). Embodiments may include: receiving, from a radiofrequency radiation sensor, a main scan of an area, the main scan may include reflections from the area at RF range, and receiving typical roughness values of one or more types of water sources. Embodiments may further include: filtering from the main scan undesired water source types according to their typical roughness values, identifying a desired type of water source in the filtered main scan and receiving from the RF radiation sensor a set of scans of the area, each scan of the area includes reflections in the RF range taken prior to the receiving of the main scan. Embodiments may include calculating the underground water content at locations in the area based on the identified first type of water source and the received set of scans.

Embodiments of the invention are directed to a method of determining underground liquid (e.g., water) content. Embodiments of the method may include: receiving a scan of an area at a first polarization, the scan scans including reflections from the area. Embodiments of the invention may include receiving an additional data. Embodiments of the method may further include filtering electromagnetic noise from the scan using the additional data. Embodiments of the method may further include creating a water roughness map based on typical roughness values of various types of water sources and the filtered scan, identifying a first type of water sources using the water roughness map and the filtered scan and calculating the water content at locations in the area based on the identified first type of water sources.

Embodiments of the invention are directed to a method of determining underground liquid (e.g., water) content. Embodiments of the method may include: receiving a scan of an area at a first polarization, the scan scans including reflections from the area. Embodiments of the invention may include receiving an additional data. Embodiments of the method may further include filtering electromagnetic noise from the scan using the additional data. Embodiments of the method may further include creating a water roughness map based on typical roughness values of various types of water sources and the filtered scan, identifying a first type of water sources using the water roughness map and the filtered scan and calculating the water content at locations in the area based on the identified first type of water sources.