Implementations for monitoring seismic data recorded in a marine survey of a subterranean formation for coverage gaps are described herein. Implementations include computing Fresnel sum operators for Fresnel zones of the subterranean formation based on a Kirchhoff migration impulse response at horizons of a representative plane layer model of a survey area of the subterranean formation. Implementations also include computing an acceptability map of the survey area based on the Fresnel sum operators. The acceptability map reveals coverage gaps in the survey area. Geoscientist may use the acceptability map to infill seismic data in areas of the survey area that correspond to the coverage gaps.

A method can include receiving microseismic data of microseismic events as acquired by sensors during hydraulic fracturing of a geologic region; jointly calibrating sensor orientation of the sensors and a velocity model of the geologic region via an objective function and the microseismic data; and, based at least in part on the jointly calibrating, determining one or more locations of the one or more microseismic events.

A method can include receiving a digital operational plan that specifies computational tasks for seismic workflows, that specifies computational resources and that specifies execution information; dispatching instructions that provision the computational resources for one of the computational tasks for one of the seismic workflows; issuing a request for the execution information; receiving the requested execution information during execution of the one of the computational tasks using the provisioned computational resources; and, based on the received execution information indicating that the execution of the one of the computational tasks deviates from the digital operational plan, dispatching at least one additional instruction that provisions at least one additional computational resource for the one of the computational tasks for the one of the seismic workflows.

This disclosure relates to systems and methods for collecting, integrating, processing, distributing, and analyzing spatial and/or spatio-temporal information associated with a variety of data sources and/or locations. In some embodiments, systems and methods described herein allow for collection and integration of information included in one or more spatial and/or spatio-temporal data streams and/or other related information that may be utilized in connection with one or more analytical processes. In certain embodiments, the disclosed embodiments may allow a user to, among other things, interact with spatio-temporal information associated with a variety of diverse data sources, generate visualizations using such data, and/or perform desired analytical queries based on the data.

A method can include receiving a request for cloud resources where the cloud resources include frameworks where the frameworks include a seismic interpretation and earth model framework; processing the request; accessing at least one of the frameworks as executing on at least a portion of the cloud resources; generating a result responsive to the accessing; and transmitting the result.

This disclosure relates to systems and methods for collecting, integrating, processing, distributing, and analyzing spatial and/or spatio-temporal information associated with a variety of data sources and/or locations. In some embodiments, systems and methods described herein allow for collection and integration of information included in one or more spatial and/or spatio-temporal data streams and/or other related information that may be utilized in connection with one or more analytical processes. In certain embodiments, the disclosed embodiments may allow a user to, among other things, interact with spatio-temporal information associated with a variety of diverse data sources, generate visualizations using such data, and/or perform desired analytical queries based on the data.

A method is described for generating a hexahedral mesh from a geological model, including: generating a three-dimensional tetrahedral mesh from the geological model; getting a 3D hexahedral mesh based on a tetrahedral mesh, including: verticalizing the tetrahedral mesh to make the faults and boundaries of the domain vertical; calculating a global 2D parameterization for a reference horizon of the verticalized mesh; determining a 2D grid formed from quadrilaterals representing the reference horizon based on the global parameterization; getting a 3D hexahedral mesh by propagation of the grid to the other horizons of the model; and restoring the initial geometry of the faults; and implementing an additional processing of the mesh in order to structure the mesh near each singular point.

A method for separating and quantifying gamma ray induced and neutron induced responses in a radiation detector includes detecting radiation in a radiation field comprising neutrons and gamma rays. The detected events are converted into a detector pulse amplitude spectrum. The pulse amplitude spectrum is decomposed into contributions from detected gamma rays and detected neutrons using gamma ray standard spectra and neutron standard spectra and a spectral fitting procedure which results in a best fit between a weighted sum of the contributions and the detector pulse amplitude spectrum. The fitting procedure includes determining fitting parameters for each of the standard spectra wherein at least one of the fitting parameters is different for the gamma ray standard spectra and the neutron standard spectra. In one embodiment, the fitting parameter is spectral gain.

A residual seismic-resistant performance evaluation system includes a seismograph including a seismic intensity sensor, a network interface, a storage, an A/D converter, a temporary storage means and a CPU; a data processing terminal for recording and processing measurement data; and a data processing server for evaluating residual seismic-resistant performance based on the measurement data. The system causes the data processing terminal to perform the steps below: a) calculating seismic intensity data based on the measurement data; b) setting a threshold value for the seismic intensity data; determining whether or not the seismic intensity data exceeds the threshold value; and d) transmitting the seismic intensity data exceeding the threshold value to the data processing server. The system causes the data processing server to perform steps below: g) requesting at least one of the seismograph and the data processing terminal to provide the measurement data; and h) receiving the measurement data transmitted according to the request.

Systems and methods for selecting the best logging data for petrophysical modelling and completion optimization by analyzing sensitivity and errors in the logging data.