Abstract: A system in accordance with an embodiment of the present disclosure comprises a plurality of electrodes communicatively coupled to an electromagnetically sensitive bio-organism isolated from electrostatic energy and control logic configured to detect at least one signal from the electrodes and determine, based upon the at least one signal, whether seismic activity is present, the at least one signal indicative of an action potential in the bio-organism.

Abstract: A method of detecting a tsunami by using the global positioning system (GPS) is provided. The method includes distributing multiple GPS receivers over a sea surface in a target area, receiving signals from GPS satellites by the GPS receivers, and transmitting the signals and coordinates of the GPS receivers to a computer. The signals are then processed to acquire real-time monitoring data including the distribution of electrons in the ionosphere above the target area, and the occurrence of a tsunami is then determined based on the distribution of electrons.

Abstract: A system for predicting earthquakes including first sensing functionality for sensing at least one earthquake prediction parameter at least a first point in time prior to an expected earthquake event, second sensing functionality for sensing at least one earthquake prediction parameter at least a second point in time prior to the expected earthquake event, the second point in time being different from the first point in time, and prediction functionality operative in response to outputs from the first sensing functionality and from the second sensing functionality to provide a prediction of an expected earthquake event.

Abstract: An earthquake determination system which includes a plurality of observation terminal devices are connected by a communication network. When estimated P-wave detection information is received from the plurality of the observation terminal devices, a distance D between the observation terminal devices and a time interval ? between detection times are acquired and when transmission limit distance of local vibration energy is DSL, the minimum propagation speed of the earthquake P waves is SP, and the maximum detection error between detection times by the pair of observation terminal devices is ?t, the seismic analysis processor determines occurrence of an earthquake, if the both of the two pairs of the observation terminal devices satisfy the relationships of 2DSL<D and ?<D/SP+?t.

Abstract: The invention relates to a method for monitoring a subsoil zone, wherein a plurality of receivers are arranged on a surface of the soil or near said surface, straight above a geological zone to be monitored, comprising the following steps: generating a set of reference seismic data recording seismic data by means of said receivers; correlating the seismic data recorded (52) with the reference seismic data; comparing each trace of the correlated data, with correlated traces located in a vicinity of said trace, in order to evaluate a similarity of each correlated trace with the adjacent correlated traces, detecting a microseismic event occurring in the subsoil zone by analysing said similarity. This method enables real-time monitoring.

Abstract: Method for obtaining rock parameters such as porosity and vshale directly from inversion of seismic data corresponding to a single trace location. This method is distinguished from existing methods that obtain elastic properties from inversion of seismic data, then relate the elastic parameters to rock lithology parameters such as porosity or vshale because it is accomplished in one step, can incorporate anisotropy and does not require multiple trace locations for stability. The data are separated into partial stacks, and a wavelet is specified for each stack. A set of linearized equations are constructed relating seismic reflectivity to changes in elastic parameters, and another set of linearized equations is constructed relating the changes in elastic parameters to the lithologic parameters. The linearized reflectivity equations are combined with the linearized rock physics equations, convolved with the specified wavelets, and equated to the seismic data.

Abstract: One or more techniques for determining time-varying stress and strain fields within a subsurface region include integrating a seismic model (110) of a reservoir within the subsurface region with a geomechanical model (140) of the subsurface region. An estimate of the time-varying stress and strain fields within the subsurface region during production of the reservoir are determined, wherein the estimate is based on the integration of the seismic model with the geomechanical model. The integration of the seismic model with the geomechanical model can be used to predict the feasibility of passive seismic monitoring for a reservoir within a subsurface region (170).

Abstract: Systems and methods to generate weather alerts are provided. A particular system includes a weather band radio receiver to receive weather alerts. The system further includes a processor to perform an analysis of the received electromagnetic radiation and to determine based on the analysis whether the electromagnetic radiation indicates rotation in a storm system. The processor initiates an alert when the analysis indicates rotation in the storm system and a weather alert has been received.

Abstract: Images from the video camera of a computer are compared over time, e.g., every few milliseconds, to determine from the pixel data if motion of the computer matches template motion associated with an earthquake P-wave. If so, a warning is generated, uploaded to a communication network, and propagated over the network to other computers.

Abstract: The disclosed earthquake vapor theory, statistically significant in practice, overcomes two difficulties: the dependency on cold weather to pinpoint an earthquake epicenter and the time window not being short enough for evacuation. Finding a vapor nozzle based on boiling temperature can solve the former. Isolating the nozzle to find the next peak of daily maximum after vapor eruption can solve the latter by narrowing the time window to 1-2 days. The embodiments may also be utilized to prevent mysterious air and sea accidents.

Abstract: A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.

Abstract: Disclosed herein is a receiving apparatus including: a receiving portion configured to receive warning information; a setting portion configured to establish settings regarding an announcing action to be performed upon receipt of the warning information, in accordance with operations performed by a user; and a control portion configured to control, upon receipt of the warning information, the announcing action in accordance with the settings established by the setting portion.

Abstract: A system and method monitor a hydrocarbon reservoir for drainage in volumetric three dimensions. Monitoring between wells is imperative for optimum reservoir management and is achieved by mapping the hydrocarbon fluid pathways in a producing reservoir. Unlike conventional 4D or time-lapse reflection seismic imaging systems that use a controlled active seismic source and records reflected seismic energy at receivers, the system and method exploit the minute vibrations, or micro-earthquakes generated in the reservoir layers that are induced by fluid movement. These microseisms are detected as the fluids move in the reservoir.

Abstract: Short-term and impending earthquake prediction using orbiting satellites equipped with infrared wave scanners, receivers and image processors. The color densities of infrared images are categorized and applied to different seasons and latitudes to obtain an atmospheric model. The scanners detect the grayness value, from which the actual temperature can be obtained after modification of the atmospheric model. A ring of temperature decrease might appear above the cloud layer where the earthquake is breeding. Strange-shaped clouds might occur over the area. When the earthquake occurs in an inland highland area, thermal stress lines can be observed and the area where these stress lines converge is the future epicenter for an earthquake. A network of infrasonic sound measuring instruments detects infrasonic sound anomalies to improve the accuracy of predicting the time and epicenter of an earthquake. The invention can increase the rate of successful earthquake forecasting by 50%.

Abstract: The present invention introduces an innovative data mining technique to identify precursory signals associated with earthquakes. It involves a multistrategy approach that employs one-dimensional wavelet transformations to identify singularities in data, and analyzes the continuity of wavelet maxima in time and space to determine the singularities that could be precursory signals. Surface Latent Heat Flux (SLHF) data may be used. A single prominent SLHF anomaly may be found to be associated some days prior to a main earthquake event.

Abstract: A method of forecasting naturally-occurring phenomena, such as seismic activity, includes taking localized measurements of the Earth's gravitational force change using MEM inertial motion units. Trends in the measurements are interpreted and related to a phenomenon of interest, a likelihood of occurrence is predicted based on the relationship, and the likelihood is reported to interested parties, preferably automatically to emergency bulletin sources. Measurements can be taken from above the Earth's atmosphere. The trends can be interpreted by determining blind source separation information directed to the region underneath the Earth's mantle crust to determine composition and/or movement.

Abstract: Systems and methods in which data compression techniques are utilized to fill a predetermined channel capacity are shown. According to one configuration, event data points within test data are selected for communication via the data communication channel and a data decimator is utilized to identify other data points within the test data to fill or substantially fill the predetermined channel capacity. The foregoing data decimator may employ one or more variables for selecting data for communication, wherein one or more of the variables are preferably adjusted in decimator iterations to select an optimum or otherwise desirable subset of data for communication. Data decimators may additionally or alternatively implement a suitable “growth” function to select the particular data for communication and/or the amount of data communicated.

Abstract: The scales that allow for the shear planes (first scale), the rock and/or crust geometry (second scale), and the change of the geometries as earthquake systematics (third scale) are the basis for prediction and reduction of intensity. Actions to generate mini-movements to reduce the intensity of earthquakes are then concentrated on those areas where the stress concentrations generate jerky movements to alter the rock geometry (third scale). Based on the scale, the large-scale areas that influence the local stress concentrations and are involved in the jerky movements are thus taken into consideration.

Abstract: A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.

Abstract: Systems and methods are provided for acquiring seismic data using a wireless network and a number of individual data acquisition modules that are configured to collect seismic data and forward data to a central recording and control system. In one implementation, a number of remote modules (301) are arranged in lines. Base station modules (302) receive information from the lines and relay the information to a central control and recording system (303). Radio links operating on multiple frequencies (F1-F12) are used by the modules (301). For improved data transfer rate, radio links from a remote module (301) leap past the nearest remote module to the next module closer to the base station.

Abstract: A multicomponent induction logging tool is used on a MWD bottomhole assembly. Multifrequency focusing that accounts for the finite, nonzero, conductivity of the mandrel is applied. Using separation of modes, the principal components and relative dip angles in an earth formation are determined. The results are used for reservoir navigation in an earth formation.

Abstract: An apparatus, system, and method for a communication network that includes a wireless terminal and a central unit. The wireless terminal is configured to receive potential seismic data, analyze the potential seismic data, determine whether an occurrence of an actual seismic event is sufficiently probable, and generate a potential seismic event message configured to indicate a potential occurrence of a seismic event. The central unit is configured to receive the potential seismic event message from the wireless terminal, analyze the potential seismic event message, determine whether a seismic event has occurred, and generate a seismic event message.

Abstract: This system is based on the measurement of the electrical and magnetic waves emitted by the system which is being measured. Geological faults, ground waters, mines, treasures, oil reservoirs are detected by this system. Earthquakes are predicted. Artificial earthquake waves are triggered. The system is used as radar. Currents of human body, animals, plants are measured. Structures of the ground of the world and of the planets are elucidated. Electrical and magnetic structures of the earth and celestial bodies are determined. Wave shapes of materials and of the living are determined. This system comprises measuring rods (4) and bows (3), coils wound around rods and bows, ammeter (19), current controller (20), electronic brain (25), electronic circuit (26), sensors (29), computer (27), telescope (75), small and big diameter cable networks, systems for activating the telescope and antennas.

Abstract: A combined statistical-deterministic approach to methods and systems for assessing risk associated with natural disasters, in particular, hurricane wind risk. One example of a method of predicting wind speed distribution within a predetermined distance from a point of interest includes steps of statistically synthesizing a large plurality of wind storm tracks that pass within a predetermined radius of the point of interest, running a deterministic simulation of wind intensity along each one of the large plurality of wind storm tracks to produce an output representative of wind speed distribution along each track, and using the output to estimate an overall wind speed probability distribution from a combination of the wind speed distributions along each track within the predetermined distance from the point of interest.

Abstract: Certain embodiments of the present invention provide a system for improved signal processing within a remote sensor system. The system includes a detection component and a classification component. The detection component is adapted to detect an event. The classification component is adapted to classify the event based at least in part on a situation. Certain embodiments of the present invention provide a method for improved signal processing within a remote sensor system. The system includes determining a situation, detecting an event, and classifying the event based at least in part on a situation.

Abstract: Certain embodiments of the present invention provide a system for improved signal processing within a remote sensor system. The system includes a detection component and a processing component. The detection component is adapted to detect an event and generate a signal based at least in part on the event. The processing component adapted to process a signal based at least in part on a situation. Certain embodiments of the present invention provide a method for improved signal processing within a remote sensor system. The method includes determining a situation, detecting an event, generating a signal based at least in part on the event, and processing the signal based at least in part on the situational parameter.

Abstract: A method of tracking seismic activity through monitoring sunspots and sun disturbances and correlating them with a developed model in order to map out specific locations where an earthquake will consequently appear is provided (FP). The method of comprises mapping coordinates of electromagnetic disturbances on the sun, calculating the coordinates while taking into consideration Earth/sun geometry and relative positions (FP). These coordinates are consequently mapped to a location and time on earth wherein the location and time predicts the location and approximate time of the earthquake, which will consequently occur on earth.

Abstract: A computer implemented method of producing macro-view conclusion data related to a seismic event. The method includes receiving at a processing center a set of data related to a parameter of a seismic event. The parameter is measured using a vibration sensor of a hard disk drive of a computer at a known, fixed location, wherein the vibration sensor produces the set of data. The method further includes processing the set of data at the processing center to produce the macro-view conclusion data. The macro-view conclusion data is then stored in a storage device.

Abstract: The present invention introduces an innovative data mining technique to identify precursory signals associated with earthquakes. It involves a multistrategy approach that employs one-dimensional wavelet transformations to identify singularities in data, and analyzes the continuity of wavelet maxima in time and space to determine the singularities that could be precursory signals. Surface Latent Heat Flux (SLHF) data may be used. A single prominent SLHF anomaly may be found to be associated some days prior to a main earthquake event.

Abstract: The present invention relates to a method of predicting where the next major earthquake will occur within a area based on knowledge of the stress tensor field in the area, including determining stress tensors that have caused a shear slip in the form of an earthquake. It is first assumed that said first shear slip is the only one that is not stable according the Mohr-Coulomb slip criterion applied to contemplated fault planes with all conceivable orientations and calculating according to the Mohr-Coulomb slip criterion the principal stress directions as a function of the friction coefficient f. After that, it is established according to the Mohr-Coulomb slip criterion a relationship between two of the principal stresses. Moreover the normal stress ?v in a known direction Sv is determined and, according to the elasticity theory, a relationship between the normal stress ?v and the principal stresses is established.

Abstract: A seismic switch is a programmable device capable of distinguishing between seismic movements due to an earthquake or an explosion, which is used to send a signal to control panels for security doors. The device uses accelerometers and a microcontroller for the detection and signal analysis of the seismic movements. In the event of an explosion or earthquake, the device produces an alarm. The accelerometers are low G micro machined accelerometers that include signal conditioning, a 2-pole low pass filter and temperature compensation with CMOS signal conditioning ASIC contained in a single integrated circuit sealed hermetically at the wafer level.

Abstract: A method of identifying passive seismic events in seismic data that contains at least first seismic data traces acquired at a first seismic receiver and second seismic data traces acquired at a second receiver spatially separated from the first receiver comprises determining an overall measure of similarity for a pair of events in the seismic traces. The overall measure of similarity is indicative of similarity between the events acquired at the first seismic receiver and of similarity between the events acquired at the second seismic receiver. In one method, the overall measure of similarity is an overall cross-correlation coefficient. The overall cross-correlation coefficient is found by determining a first correlation coefficient for the pair of events from the data acquired at the first receiver and determining a second correlation coefficient for the pair of events from the data acquired at the second receiver.

Abstract: A detection of an anomaly of geomagnetism and a collection of data are performed by using portable telephones. Direction variations measured by geomagnetic sensors mounted to the portable telephones are collected via data transmission lines for portable telephones, and the variations are observed for each area. Earthquake occurrence warning information is transmitted to a portable terminal of a collaborator for geomagnetism information provision in an area in which a number of occurrences of the variations is significantly large.

Abstract: Catastrophic earthquakes cause tremendous loss to people, especially when they occur unprepared. Imminent prediction of the earthquake with occurrence time, location and magnitude may give people time to prepare for it and minimize the loss. Unfortunately, imminent prediction of the earthquakes, especially those without foreshocks, is very difficult if not impossible. This invention discloses a method and system that work around the difficulty of the imminent prediction of the earthquake. Instead of trying to predict the occurrence, it triggers the earthquake artificially at a known time so that evacuation and other preparations can be accomplished prior to the triggering time of the earthquake to reduce the loss caused by the earthquake. The artificial triggering of the earthquakes may be implemented by at least one underground nuclear explosion.

Abstract: Method for controlling the phase spectrum of seismic data to match assumptions inherent in subsequent processing steps. The source signature, after processing with the same initial processing steps used on the data, is used to design a phase control filter that shapes the seismic data to have a minimum phase spectrum or whatever other phase spectrum the subsequent processing algorithms may assume. The processed data is then filtered with a second phase-control filter, also designed using the parallel-processed signature, to shape the data to zero phase or whatever other phase may be desired for interpretation of the data.

Abstract: The present invention introduces an innovative data mining technique to identify precursory signals associated with earthquakes. It involves a multistrategy approach that employs one-dimensional wavelet transformations to identify singularities in data, and analyzes the continuity of wavelet maxima in time and space to determine the singularities that could be precursory signals. Surface Latent Heat Flux (SLHF) data may be used. A single prominent SLHF anomaly may be found to be associated some days prior to a main earthquake event.

Abstract: The invention relates to a seismic warning system comprising of two or more sensors for detecting shock signals and electronic signal processing elements for processing and analyzing said signals. According to the invention, the system has at least two detection units, each comprising a shock sensor and electronic signal processing elements. The signal processing elements of each detection unit are configured in such a way that they detect the primary waves of earthquakes using the signals of the shock sensors. The detection units are interconnected via an electronic data bus.

Abstract: One or more techniques for determining time-varying stress and strain fields within a subsurface region include integrating a seismic model (110) of a reservoir within the subsurface region with a geomechanical model (140) of the subsurface region. An estimate of the time-varying stress and strain fields within the subsurface region during production of the reservoir are determined, wherein the estimate is based on the integration of the seismic model with the geomechanical model. The integration of the seismic model with the geomechanical model can be used to predict the feasibility of passive seismic monitoring for a reservoir within a subsurface region (170).

Abstract: A system in accordance with an embodiment of the present disclosure comprises a plurality of electrodes communicatively coupled to an electromagnetically sensitive bio-organism isolated from electrostatic energy and control logic configured to detect at least one signal from the electrodes and determine, based upon the at least one signal, whether seismic activity is present, the at least one signal indicative of an action potential in the bio-organism.

Abstract: In an earthquake noticing system according to the present invention, an earthquake noticing server receives focal data, calculates an expected time of arrival from a distance calculated from an occurrence location of an earthquake, a self-location and a focal depth, calculates an estimated seismic intensity from the occurrence location of the earthquake, the self-location and the seismic magnitude, calculates a corrected value of the expected time of arrival from the occurrence location of the earthquake, the self location and the location of a sub-terminal, and transmits the corrected value and estimated seismic intensity to the sub-terminal.

Abstract: Solutions to the problem of reversing seismic fault movements are formulated using a model based on elasticity theory, and using finite element and boundary element methods for generating a solution. The solution involves defining slip vectors from known formations in the fault and applying a space constraint restriction to traction values on the fault surface. The method may be applied in either 2D or 3D applications. The method is computationally fast enough to allow interactive fault reversal, and permits experimentation with various unfaulting scenarios so that a geologically acceptable solution is provided.

Abstract: A manufacturing apparatus includes a receiver which receives earthquake information containing the time at which earthquake vibration is expected to arrive at the manufacturing apparatus or information to predict the time, an acquisition unit which acquires status information indicating the status of the manufacturing apparatus, a countermeasure determination unit which determines an earthquake countermeasure on the basis of the earthquake information and the status information, and a countermeasure execution unit which executes the earthquake countermeasure, which is determined by the countermeasure determination unit, before the earthquake vibration arrives at the manufacturing apparatus.

Abstract: Data processing means are described for calculating an estimated time of arrival of a seismic or microseismic P or S wave at a sensor station, based on a P to S wave velocity ratio, a calculated estimated time of origin of the event and, where the estimated arrival time of a P wave is to be calculated, a picked arrival time of the S wave at the sensor station or, where the estimated arrival time of a S wave is to be calculated, a picked arrival time of the P wave at the sensor station.

Abstract: A computer implemented method of producing macro-view conclusion data related to a seismic event. The method includes receiving at a processing center a set of data related to a parameter of a seismic event. The parameter is measured using a vibration sensor of a hard disk drive of a computer at a known, fixed location, wherein the vibration sensor produces the set of data. The method further includes processing the set of data at the processing center to produce the macro-view conclusion data. The macro-view conclusion data is then stored in a storage device.

Abstract: A method and apparatus are provided for determining and expressing the elastic moduli within a body of earthen material; the method and apparatus for processing the method follows the steps of: (a) establishing the location of the body; (b) determining the Young's Modulus E using the formula E=?Vp2; (c) determining the Shear Modulus ? using the formula ?=?Vs2; (d) determining a Bulk Modulus ? using the formula ?=?Vp2/3(1?2?) where ? equals Poisson's Ratio; and (e) selecting one or more of the determined moduli and entering such selected moduli in a data processor adapted to convert such selected moduli into a visual expression as, for example, a map of the selected moduli for the purpose of oil, gas or coal exploration, or earthquake hazard mapping.

Abstract: A method of tracking seismic activity through monitoring sunspots and sun disturbances and correlating them with a developed model in order to map out specific locations where an earthquake will consequently appear is provided (FP). The method of comprises mapping coordinates of electromagnetic disturbances on the sun, calculating the coordinates while taking into consideration Earth/sun geometry and relative positions (FP). These coordinates are consequently mapped to a location and time on earth wherein the location and time predicts the location and approximate time of the earthquake, which will consequently occur on earth (FIG. 1).

Abstract: One embodiment of the present invention provides a system that forecasts earthquakes. During operation, the system generates a relative intensity (RI) map of a geographic region, wherein the RI map represents a normalized intensity in seismic activity over the geographic region during a time period from t0 to t2, wherein t0<t2. The system additionally generates a pattern informatics (PI) map of the geographic region, wherein the PI map represents a time-averaged change in the normalized intensity in seismic activity during a change interval from t1 to t2, wherein t1<t2. Next, the system compares the PI map against the RI map. The system then forecasts an earthquake with a magnitude greater than m within the geographic region based on the comparison between the PI map and the RI map.

Abstract: For providing earthquake data for a defined area, stored are locations of a plurality of earthquake epicenters and seismic parameters associated with a plurality of seismic zones. The seismic parameters are indicative at least of magnitude and likelihood of earthquakes in each of the seismic zones. A location of a selected epicenter, within the defined area, is determined (S31) from the stored locations. Determined from the seismic parameters is a selected magnitude (S34) associated with a selected seismic zone comprising the selected epicenter. Established are characteristics of a plurality of earthquake events (S3) in the area over a defined length of time. The characteristics of an earthquake event include at least a selected epicenter and a selected magnitude. Generated is a signal indicative of the characteristics of the earthquake events. Enabled is an easy to maintain earthquake hazard model, having flexible and simple parameterization, and providing earthquake data consistent with historical data.

Abstract: A parallel kinematic machine has a parallel kinematic mechanism including an end effecter and a parallel link mechanism. A numerical control device controls a position and orientation of the end effecter based on kinematics of the parallel kinematic mechanism. A posture setter sets an adjustment tool on the end effecter in a known posture in a reference coordinate system defined outside the parallel kinematic mechanism based on a measurement method. A data acquirer acquires data in accordance with a measurement method selecting code for designating the measurement method used by the posture setter in setting the adjustment tool in the known posture, and defines a correlation between kinematic parameters for the parallel kinematic mechanism and the reference coordinate system. A calculator calculates the kinematic parameters based on the acquired data by using a relational expression describing forward kinematics of the parallel kinematic mechanism.

Abstract: Systems and methods are disclosed to construct subsurface images from diffuse seismic energy. Various disclosed system embodiments include multiple seismic sensors that each convert received seismic energy into one or more seismic signals. One or more processor combine the seismic signals to determine a subsurface map. As part of determining the map, the processor(s) systematically focus the array of seismic sensors on each bin in the subsurface volume of interest. In this manner each bin becomes a focal point of the array. For each bin, the processor(s) analyze the seismic wave travel time to each seismic sensor and apply a corresponding time shift to align the seismic signals with a uniform travel time. The time-shifted seismic signals are then combined to determine an intensity value for seismic energy radiating from the focal point. A subsurface map can then be derived from the intensity value as a function of position.