Abstract: The present embodiments relate generally to a probe, system, and method for generating a predictive model for moving the probe. The probe can include a movable element that move according to the suggestion of the predictive model. The system can include the probe, a user device, an administrator processor, and a server. The predictive model calculates an image score based on the quality, then the processor can move the movable element based on the score.

Abstract: Land seismic survey including providing at least two vibrators in a first group, wherein each vibrator in the first group is assigned to a respective source line, where the source lines of the first group run substantially parallel to one another; providing at least two vibrators in a second group, wherein each vibrator in the second group is assigned to a respective source line that is different than the source lines assigned to vibrators from the first group; actuating the vibrators in the first group simultaneously using different frequency bandwidth sweeps and different phase encodings; actuating the vibrators in the second group at the same time as those in the first group, and simultaneously using different frequency bandwidth sweeps and different phase encodings; and detecting the resulting seismic signals with a plurality of seismic sensors that are placed in contact with the earth and as part of a seismic spread.

Abstract: The present embodiments relate generally to a system and method for generating images from ultrasound imaging data. The system can include a data acquisition processor, and administrator processor, a user device, and a server. The method can include transmitting images to a server, applying an implicit misfit function to generate a first set of images, then, based on this first set, apply an explicit misfit function to generate a second set of images of higher accuracy.

Abstract: The present embodiments include a system and method for processing multi-dimensional images in real time through the use of third-party servers and cloud computing. The system includes a data acquisition processor, a data storage unit, an administrator processor, and a server. The server can be a cloud-based server. The method includes receiving multi-dimensional imaging data, compressing and blending the image data, transmitting the image data to a server, decompressing and deblending the data, generating multi-dimensional images, and transmitting the imaging data back to the administrator processor.

Abstract: A method may include receiving, via a processor, multiple seismic datasets acquired simultaneously in response to multiple seismic waves generated by multiple sources towed by one or more vessels. The multiple seismic datasets may include an ocean bottom node datasets, a towed streamer dataset, a near field hydrophones dataset, and a vertical seismic profile dataset. The method may sensors also include performing coordinated seismic data processing using the multiple seismic datasets to generate seismic data representative of one or more subsurface regions below the water bottom, building a velocity model based on the seismic data, and generating seismic images representative of the water bottom and the one or more subsurface regions based on the velocity model.

Abstract: Systems and methods for determining object location may include a memory and a processor. The processor may be configured to collect seismic data and geophysical data to determine object location. The processor may be configured to determine one or more seismic attributes associated with a plurality types of noises based on the seismic data and the geophysical data using one or more machine learning algorithms. The processor may be configured to eliminate unwanted noises from noise classifications based on the one or more seismic attributes. The processor may be configured to predict the object location by comparing time and velocity data of the object with recorded timing and velocity data. The processor may be configured to validate the object location by comparing the determined noise with image data. The systems and methods may be used in, for example, detecting missing planes such as Malaysian Airlines Flight 370.

Abstract: Systems and methods for determining object location may include a memory and a processor. The processor may be configured to collect seismic data and geophysical data to determine object location. The processor may be configured to determine one or more seismic attributes associated with a plurality types of noises based on the seismic data and the geophysical data using one or more machine learning algorithms. The processor may be configured to eliminate unwanted noises from noise classifications based on the one or more seismic attributes. The processor may be configured to predict the object location by comparing time and velocity data of the object with recorded timing and velocity data. The processor may be configured to validate the object location by comparing the determined noise with image data. The systems and methods may be used in, for example, detecting missing planes such as Malaysian Airlines Flight 370.

Abstract: The present application pertains to methods and systems for detecting an underground archeologic structure. The method comprises transmitting P (longitudinal)-waves and S (shear)-waves into the earth. Reflected P (longitudinal)-waves and reflected S (shear)-waves are then received using one or more receivers located on the surface of the earth and one or more receivers located beneath the surface of the earth. The underground archeologic structure is identified using a differentiation between the one or more receivers located on the surface of the earth and the one or more receivers located beneath the surface of the earth.

Abstract: Systems and methods for medical imaging and analysis are described. The systems and methods comprise generating raw medical image data from a medical imaging hardware device, processing the raw medical image data, generating a processed raw medical image file, transmitting the processed medical image data file and imaging data, identifying a normalization factor based on the imaging detail data, normalizing the processed medical image data file using the normalization factor, and comparing the processed medical image data file with at least one other processed medical image data file. The difference between the processed medical image file and the at least one other processed medical image file is subtracted. A graphical representation of the difference is generated and displayed.

Abstract: A long offset land seismic survey spread includes a plurality of sensors within an area thereby defining a sensor receiver patch, a plurality of long offset sensor receivers outside of the receiver patch thereby surrounding the receiver patch and defining a sensor long offset area that is fee from sensor receivers that also defines a distance separating an external border of the sensor receiver patch and the long offset sensor receivers being a minimum offset distance that is a long offset distance.

Abstract: Systems and methods for determining object location may include a memory and a processor. The processor may be configured to collect seismic data and geophysical data to determine object location. The processor may be configured to determine one or more seismic attributes associated with a plurality types of noises based on the seismic data and the geophysical data using one or more machine learning algorithms. The processor may be configured to eliminate unwanted noises from noise classifications based on the one or more seismic attributes. The processor may be configured to predict the object location by comparing time and velocity data of the object with recorded timing and velocity data. The processor may be configured to validate the object location by comparing the determined noise with image data. The systems and methods may be used in, for example, detecting missing planes such as Malaysian Airlines Flight 370.

Abstract: Land seismic survey including providing at least two vibrators in a first group, wherein each vibrator in the first group is assigned to a respective source line, where the source lines of the first group run substantially parallel to one another; providing at least two vibrators in a second group, wherein each vibrator in the second group is assigned to a respective source line that is different than the source lines assigned to vibrators from the first group; actuating the vibrators in the first group simultaneously using different frequency bandwidth sweeps and different phase encodings; actuating the vibrators in the second group at the same time as those in the first group, and simultaneously using different frequency bandwidth sweeps and different phase encodings; and detecting the resulting seismic signals with a plurality of seismic sensors that are placed in contact with the earth and as part of a seismic spread.

Abstract: A long offset land seismic survey spread includes a plurality of sensors within an area thereby defining a sensor receiver patch, a plurality of long offset sensor receivers outside of the receiver patch thereby surrounding the receiver patch and defining a sensor long offset area that is fee from sensor receivers that also defines a distance separating an external border of the sensor receiver patch and the long offset sensor receivers being a minimum offset distance that is a long offset distance.

Abstract: A system and method for performing an adaptive drilling operation is provided. The method involves obtaining data prior to drilling, constructing a base model with a base model unit from data obtained prior to drilling, constructing an overburden posterior model with an overburden model unit using the base model and data obtained from overburden drilling, constructing a reservoir posterior model with a reservoir model unit using the overburden posterior model and the data obtained from reservoir drilling and updating drilling operation based on the models.

Abstract: A system and method for performing an adaptive drilling operation is provided. The method involves obtaining data prior to drilling, constructing a base model with a base model unit from data obtained prior to drilling, constructing an overburden posterior model with an overburden model unit using the base model and data obtained from overburden drilling, constructing a reservoir posterior model with a reservoir model unit using the overburden posterior model and the data obtained from reservoir drilling and updating drilling operation based on the models.