Abstract: The disclosure relates to systems and methods for magnetic resonance imaging (MRI). A method may include obtaining k-space data associated with MR signals acquired by an MR scanner. The k-space data may corresponding to a first sampling rate. The method may also include generating one or more estimated images based on the k-space data and a target neural network model. The one or more estimated images may correspond to a second sampling rate that exceeds the first sampling rate. The method may further include determining one or more target images based on the one or more estimated images and the k-space data using a compressed sensing model. The compressed sensing model may be constructed based on the one or more estimated images.

Abstract: A method for magnetic resonance imaging may include acquiring first k-space data that is generated by entering acquired magnetic resonance (MR) data into a plurality of first k-space locations. The method may further include synthesizing second k-space data for a plurality of second k-space locations that are not filled with the acquired MR data. The method may further include reconstructing an image from the first k-space data and the second k-space data by applying a reconstruction algorithm. The reconstruction algorithm is based at least in part on a neural network technique.

Abstract: A plant-extract-containing polyester fiber is provided. The plant-extract-containing polyester fiber comprises raw materials including polyester chips, calcium carbide powder, cycloalkyl powder, halloysite powder, plant-extract functional additive, allyl glycidyl ether, organic acid salt, chromium sulfate, dispersing agent, surface active phospholipid, plasticized starch, chitosan, wetting agent, sodium salt of caboxy methyl cellulose, and antistatic agent.

Abstract: A method for magnetic resonance imaging may include acquiring first k-space data that is generated by entering acquired magnetic resonance (MR) data into a plurality of first k-space locations. The method may further include synthesizing second k-space data for a plurality of second k-space locations that are not filled with the acquired MR data. The method may further include reconstructing an image from the first k-space data and the second k-space data by applying a reconstruction algorithm. The reconstruction algorithm is based at least in part on a neural network technique.

Abstract: The disclosure relates to systems and methods for magnetic resonance imaging (MRI). A method may include obtaining k-space data associated with MR signals acquired by an MR scanner. The k-space data may corresponding to a first sampling rate. The method may also include generating one or more estimated images based on the k-space data and a target neural network model. The one or more estimated images may correspond to a second sampling rate that exceeds the first sampling rate. The method may further include determining one or more target images based on the one or more estimated images and the k-space data using a compressed sensing model. The compressed sensing model may be constructed based on the one or more estimated images.

Abstract: In one embodiment, the invention provides a computer implemented method for determining underbalanced drilling conditions. The method may include determining the number of tool joints in a segment of drill string, where each tool joint has a length and an inner diameter and an outer diameter, determining the total length of all tool joints in a segment of drill string, determining the total length of the segment of drill string excluding the tool length of all tool joints in the segment of drill string, wherein the drill string has an inner diameter and an outer diameter, determining the inner diameter of a segment of wellbore encompassing a segment of drill string, and determining a pressure drop in the segment of wellbore, based on the total length of all tool joints in the segment of drill string.

Abstract: The present disclosure is related to systems and methods for image processing. The method may include obtaining a first set of image data. The method may also include generating a second set of image data by processing, based on a trained machine learning model, the first set of image data. The second set of image data may have a relatively high resolution and/or a relatively low level of artifacts with respect to the first set of image data. The method may further include generating a target image by performing a weighted fusion on the first set of image data and the second set of image data.

Abstract: One implementation of the disclosure provides a computer implemented method for underbalanced drilling. The implementation may include determining an initial 2D UBD operation envelope based on a set of initial operating points for a selected TVD or time, displaying the initial 2D UBD operation envelope on a computer display, providing at least one data point representing actual data from a well, determining at least one actual UBD operation point using the at least one data point and displaying it on the computer display along with the 2D UBD operation envelope, selecting an optimization parameter, determining a set of optimized operating points based on the optimization parameter, and displaying the set of optimized operating points on the computer display along with the 2D UBD operation envelope.

Abstract: The disclosed embodiments include a method, apparatus, and computer program product for monitoring underbalanced drilling operations. For example, one disclosed embodiment is a system that includes at least one processor and at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations for generating a three dimensional tunnel view of an operating envelope of a well as the well is being drilled.

Abstract: One implementation of the disclosure provides a computer implemented method for underbalanced drilling. The implementation may include determining an initial 2D UBD operation envelope based on a set of initial operating points for a selected TVD or time, displaying the initial 2D UBD operation envelope on a computer display, providing at least one data point representing actual data from a well, determining at least one actual UBD operation point using the at least one data point and displaying it a on the computer display along with the 2D UBD operation envelope, selecting an optimization parameter, determining a set of optimized operating points based on the optimization parameter, and displaying the set of optimized operating points on the computer display along with the 2D UBD operation envelope.

Abstract: The invention concerns a computer implemented method for underbalanced drilling. In one embodiment, the method includes determining a plurality of gas injection rate versus bottom hole pressure curves for a plurality of liquid injection rates for a specified minimum and maximum gas injection rate and a minimum and maximum liquid injection rate. Next, the method determines a set of four interception curves including a minimum motor equivalent liquid rate interception curve, a minimum vertical liquid velocity intercept curve, a minimum horizontal liquid velocity intercept curve, and a maximum motor equivalent liquid rate intercept curve for a specified minimum and maximum mud motor rate range and a minimum horizontal and vertical annulus velocity.

Abstract: In one embodiment, the invention provides a computer implemented method for determining underbalanced drilling conditions. The method may include determining the number of tool joints in a segment of drill string, where each tool joint has a length and an inner diameter and an outer diameter, determining the total length of all tool joints in a segment of drill string, determining the total length of the segment of drill string excluding the tool length of all tool joints in the segment of drill string, wherein the drill string has an inner diameter and an outer diameter, determining the inner diameter of a segment of wellbore encompassing a segment of drill string, and determining a pressure drop in the segment of wellbore, based on the total length of all tool joints in the segment of drill string.

Abstract: The disclosed embodiments include a method, apparatus, and computer program product for monitoring underbalanced drilling operations. For example, one disclosed embodiment is a system that includes at least one processor and at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations for generating a three dimensional tunnel view of an operating envelope of a well as the well is being drilled.