WesternGeco | Date: 2017-01-31
A control system for use in a marine seismic survey is provided. The system may include one or more processors configured to receive a desired position for one or more seismic streamers during the marine seismic survey. The one or more processors may be further configured to determine a current position for the one or more seismic streamers and to adjust a position of a steering device on each streamer, based upon, at least in part, a comparison between the current position of the one or more seismic streamers and the desired position of the one or more seismic streamers.
WesternGeco and Schlumberger | Date: 2017-04-19
A method can include receiving data associated with a multilithology geologic environment; and, based on at least a portion of the data, determining values for multiphase model parameters defined in a model space.
Schlumberger and WesternGeco | Date: 2017-01-11
Systems, methods, and computer-readable media for visualizing a seismic attribute. The method includes obtaining data representing a seismic image based on seismic data of at least a portion of a subterranean volume, obtaining data representing a first seismic attribute calculated based on the seismic data, and determining one or more characteristics of one or more first attribute indicators based on the first seismic attribute. At least one of the one or more characteristics comprises an orientation of the one or more first attribute indicators. The method also includes displaying the one or more first attribute indicators in combination with the seismic image.
Schlumberger and WesternGeco | Date: 2017-01-11
Systems, methods, and media for modeling and filtering noise in seismic surveys are disclosed. Methods, systems, and computer program products in accordance with the present disclosure perform operations including obtaining seismic information of a region resulting from a source waveform applied to the region. The operations also include obtaining an estimate of visco-elastic properties of a near-surface of the region. The operations further include determining an estimate of propagation of guided waves in the region based on the estimate of visco-elastic properties of a near-surface of the region. Additionally, the operations include determining a model of the guided waves in the near-surface of the region using the estimate of propagation of the guided waves and an estimate of the source waveform. Moreover the operations include determining a filtered output of the seismic information by removing the model of the guided waves from the seismic information.
WesternGeco | Date: 2017-02-07
Translational data in a first direction is measured by particle motion sensors contained in an elongated housing of a sensor device provided at an earth surface. The particle motion sensors are spaced apart along a second, different direction along a longitudinal axis of the elongated housing. Rotation data around a third direction is computed based at least in part on computing a gradient of the translational data with respect to the second direction.
Schlumberger and WesternGeco | Date: 2017-02-08
A technique includes determining an image of a subsurface geologic region of interest, where the image represents at least in part ghost energy that is attributable to reflections caused by a reflecting interface. The technique includes deghosting the image, which includes processing data representing the image in a processor-based machine to determine at least one impulse response of a modeling and migration of at least one point scatterer for the region and use the impulse response(s) to attenuate the ghost energy.
Schlumberger and WesternGeco | Date: 2017-05-10
Computing systems, methods, and computer-readable media for parallel processing an electronic representation of an approximation of a seismic wavefield while preserving spectral properties is presented. The technique may include obtaining, by at least one electronic processor, data representing a seismic wavefield, identifying a plurality of conical supports for the seismic wavefield, deriving, using at least one electronic processor, a plurality of kernels from the plurality of conical supports, decomposing, in parallel, a representation of the measured seismic wavefield in terms of the plurality of kernels to obtain a decomposition, where each of a plurality of kernels is processed by a different electronic processor, removing from the decomposition at least one kernel to remove an unwanted portion of the seismic wavefield, obtaining, based on the decomposition, an approximation of the seismic wavefield, and outputting the approximation of the seismic wavefield.
WesternGeco | Date: 2015-09-04
One embodiment of the present disclosure includes a method for processing seismic data comprising the steps of receiving data representing seismic energy gathered from a formation by a plurality of seismic receivers, wherein the data include primary and multiple data. A copy of the received data is created and compensated to reduce amplitude attenuation effects due to transmission and absorption losses. A multiple prediction algorithm is applied to the received and compensated data to obtain a multiple data prediction. The multiple data prediction is subtracted from the received data to obtain primary data. The primary data is processed to reduce attenuation effects in the received data.
WesternGeco and Schlumberger | Date: 2017-03-08
A technique for reconstructing a seismic wavefield includes receiving data over one or more channels of a plurality of channels from a plurality of stations. The data is recorded by a plurality of seismic receivers and represent measurements of properties of the seismic wavefield. Each station includes a region in space including one or more seismic receivers. Each channel either measures a property of the seismic wavefield or a property of the seismic wavefield after the seismic wavefield has undergone a known transformation. At least one channel is derived as a function of one or more other channels. The technique includes using a processor based machine to process the data to model the seismic wavefield as a sum of basis functions; apply to the basis functions at least one forward transformation that describes the measurements received over the channel(s); and determine optimum basis functions based at least in part on the measurements.
Agency: European Commission | Branch: FP7 | Program: JTI-CP-ARTEMIS | Phase: SP1-JTI-ARTEMIS-2013-AIPP5 | Award Amount: 93.92M | Year: 2014
Embedded systems are the key innovation driver to improve almost all mechatronic products with cheaper and even new functionalities. Furthermore, they strongly support todays information society as inter-system communication enabler. Consequently boundaries of application domains are alleviated and ad-hoc connections and interoperability play an increasing role. At the same time, multi-core and many-core computing platforms are becoming available on the market and provide a breakthrough for system (and application) integration. A major industrial challenge arises facing (cost) efficient integration of different applications with different levels of safety and security on a single computing platform in an open context. The objective of the EMC project (Embedded multi-core systems for mixed criticality applications in dynamic and changeable real-time environments) is to foster these changes through an innovative and sustainable service-oriented architecture approach for mixed criticality applications in dynamic and changeable real-time environments. The EMC2 project focuses on the industrialization of European research outcomes and builds on the results of previous ARTEMIS, European and National projects. It provides the paradigm shift to a new and sustainable system architecture which is suitable to handle open dynamic systems. EMC is part of the European Embedded Systems industry strategy to maintain its leading edge position by providing solutions for: . Dynamic Adaptability in Open Systems . Utilization of expensive system features only as Service-on-Demand in order to reduce the overall system cost. . Handling of mixed criticality applications under real-time conditions . Scalability and utmost flexibility . Full scale deployment and management of integrated tool chains, through the entire lifecycle Approved by ARTEMIS-JU on 12/12/2013 for EoN. Minor mistakes and typos corrected by the Coordinator, finally approved by ARTEMIS-JU on 24/01/2014. Amendment 1 changes approved by ECSEL-JU on 31/03/2015.