A vibration measurement system and relative method to monitor multiphase flows in extraction wells or conduits, by analysis of backscattered multimode fiber light comprising: • a sensing multimode optical fiber; • an optical source, containing a high coherence laser that emits optical pulses to be sent in said sensing fiber; • a photonic lantern with 3 or more single-mode optical fiber ports and one multimode fiber port that is connected to the sensing multimode fiber; • an optical receiver, comprising a number of photodetectors equal to the number of the single-mode optical fiber ports of said photonic lantern minus 1, wherein each photodetector is connected to each of said single-mode ports; • a system for processing output signals from the optical receiver, the optical source being connected to one of the single-mode optical fiber ports and the other single-mode fibers being connected to the optical receiver. A process is also described for reconfiguring an optical reflectometry system already installed at a facility to be monitored.

Image feature alignment is provided. In some implementations, a computer-readable tangible medium includes instructions that direct a processor to access a reference feature point associated with a high contrast region in a first sub-image that is associated with a first section of a borehole. Instructions are also present that direct the processor to identify several candidate feature points in a second sub-image associated with a second section of the borehole adjacent to the first section of the borehole, with each of the candidate feature points being believed to possibly be associated with the high contrast region. Additional instructions are present that direct the processor to prune the candidate feature points using global solution pruning to arrive at a matching candidate feature point in the second sub-image.

A method and system for modeling a subsurface region include applying a trained machine learning network to an initial petrophysical parameter estimate to predict a geologic prior model; and performing a petrophysical inversion with the geologic prior model, geophysical data, and geophysical parameters to generate a rock type probability model and an updated petrophysical parameter estimate. Embodiments include managing hydrocarbons with the rock type probability model. Embodiments include checking for convergence of the updated petrophysical parameter estimate; and iteratively: applying the trained machine learning network to the updated petrophysical parameter estimate of a preceding iteration to predict an updated rock type probability model and another geologic prior model; performing a petrophysical inversion with the updated geologic prior model, geophysical seismic data, and geophysical elastic parameters to generate another rock type probability model and another updated petrophysical parameter estimate; and checking for convergence of the updated petrophysical parameter estimate.

A method and system for modeling a subsurface region include applying a trained machine learning network to an initial petrophysical parameter estimate to predict a geologic prior model; and performing a petrophysical inversion with the geologic prior model, geophysical data, and geophysical parameters to generate a rock type probability model and an updated petrophysical parameter estimate. Embodiments include managing hydrocarbons with the rock type probability model. Embodiments include checking for convergence of the updated petrophysical parameter estimate; and iteratively: applying the trained machine learning network to the updated petrophysical parameter estimate of a preceding iteration to predict an updated rock type probability model and another geologic prior model; performing a petrophysical inversion with the updated geologic prior model, geophysical seismic data, and geophysical elastic parameters to generate another rock type probability model and another updated petrophysical parameter estimate; and checking for convergence of the updated petrophysical parameter estimate.

A data logger comprises a mainboard and a jacketing, wherein the mainboard is covered with the jacketing, wherein the data logger is capable to be carried by said drilling fluid traveled in borehole, wherein the data in borehole is collected by the mainboard of the data logger during traveling.

A data logger comprises a mainboard and a jacketing, wherein the mainboard is covered with the jacketing, wherein the data logger is capable to be carried by said drilling fluid traveled in borehole, wherein the data in borehole is collected by the mainboard of the data logger during traveling.

An electronic newsletter distribution system useful in association with a water agency management platform provides information exchange for administering groundwater extraction rights in one or more trading-zones. The platform matches offers to trade utilization of groundwater extraction rights (GWRs), and intermediates transfers of the matched GWRs based one or more transfer rules. The system also facilitates trading of “sell order” and “buy order” in response to the water pricing and water offering information.

An electronic newsletter distribution system useful in association with a water agency management platform provides information exchange for administering groundwater extraction rights in one or more trading-zones. The platform matches offers to trade utilization of groundwater extraction rights (GWRs), and intermediates transfers of the matched GWRs based one or more transfer rules. The system also facilitates trading of “sell order” and “buy order” in response to the water pricing and water offering information.

A selection of a hydrocarbon well of a hydrocarbon production system is received at a safety logic solver (SLS) for proof testing. Test mode pressure sensors attached to a common header of the hydrocarbon production system are activated to monitor a live process condition status of the common header from all wells of the hydrocarbon production system. A simulated overpressure condition is induced in the operation pressure sensors. An indication of overpressure is received at the SLS from at least two operation pressure sensors. Final elements associated with the hydrocarbon well are signaled to close while leaving other wells in the hydrocarbon production system in operation. The operation pressure sensors are restored to a normal pressure condition, and the final elements associated with the selected hydrocarbon well are signaled to re-open the hydrocarbon well.

An efficient adaptive seismic data flow lossless compression and decompression method, which aims at solving the problem that data occupies the storage space and affects the transmission efficiency and is used for efficiently compressing geophysical instrument data, particularly seismic data after 24-bit analog-to-digital conversion. In the method, a data flow is compressed in a lossless mode in real time, and sampling data is adaptively compressed into 1 byte or 2 bytes or 3 bytes from original 24 bits and 3 bytes in a coding manner. Besides the foregoing data ranges, other integers that can be expressed by other 24-bit integer data with symbols are required to be expressed by 4 bytes after being operated through a compression algorithm. The method has the advantages of saving a large amount of storage space and remarkably increasing the data transmission efficiency.