Other

Westerngeco L.l.p.

Cloudstream Medical Imaging, Inc.

Schlumberger Technology Corporation

Services Petroliers Schlumberger

Maurice Nessim

Nicolae Moldoveanu

Yi Luo

Chuck Peng

Jun Tang

Cengiz Esmersoy

Raj Banerjee

Peter Gerhard Tilke

Jeffrey Spath

Sudhendu Kashikar

R K Michael Thambynayagam

Gregory P Grove

Nader Dutta

Annabelle Kania

John Quigley

Yanwei Xue

Christopher Hopkins

Wadii El Karkouri

The present application pertains to systems and methods for subsurface exploration. An exemplary method comprises employing a muon detector array comprising a first muon detector and a second muon detector. The muon detector array is configured to detect muons from above the array, to detect muons below the array, and to detect muons substantially horizontally to the array. One or more seismic sensors are also employed. Muon tomography is employed with the muon detector array and seismic imaging is employed with the one or more seismic sensors to image a subsurface.

Subsurface exploration instruments with integrated muon detectors

The present application pertains to two-dimensional ultrasound transducers and systems, methods of making such transducers and systems, and methods for using such transducers and systems including processing of data acquired with such devices and systems.

Two-dimensional ultra sound transducers and systems

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.

System and method for an artificial intelligence driven image acquisition system

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.

Methods and systems for concurrent land vibroseis acquisition with simultaneous activation

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.

System and method for processing multi-dimensional ultrasound imaging data on real-time cloud computers

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.

System and method for processing multi-dimensional and time-overlapping imaging data in real time with cloud computing

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

Aircraft rescue systems and methods using predictive models

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.

High-resolution seismic method and system for detecting underground archeologic structures

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.

Systems and processes for improving medical diagnoses

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.

Acquisition of ultra-long offset seismic data for full waveform inversion during seismic land acquisition

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.

Systems and methods for object location detection such as detecting airplane crash location

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.

Growing community of inventors

Houston, TX, United States of America

Maurice Nessim