Abstract: Described herein are various embodiments of computer-implemented methods, computing systems, and program products for analyzing a flood operation on a hydrocarbon reservoir. For example, an embodiment of a computer implemented method for analyzing a flood operation for a hydrocarbon reservoir having a plurality of zones is provided. The embodiment includes receiving injection profile data (ILT) and injection rates. The embodiment also uses the received injection profile data and injection rates to split each injection well into multiple zonal level injectors. The embodiment also includes running capacitance resistance modeling treating each zonal level injector as a single injector, where running capacitance resistance modeling includes generating interwell connectivities at the zonal level.

Abstract: Described herein are various embodiments of computer-implemented methods, computing systems, and program products for analyzing a flood operation on a hydrocarbon reservoir. An embodiment of a computer implemented method of identifying conformance candidates is provided. The embodiment includes, for a first entity: solving an injection entity index to generate an injection entity index value, solving a production entity index to generate a production entity index value, evaluating an operation entity index that represents operation status to generate an operation entity index value, and combining the injection entity index value, the production entity index value, and the operation entity index value to generate a conformance problem index value for the first entity.

Abstract: Described herein are various embodiments of computer-implemented methods, computing systems, and program products for analyzing a flood operation on a hydrocarbon reservoir. For example, an embodiment of a computer implemented method of analyzing a flood operation on a hydrocarbon reservoir having heavy oil is provided. The embodiment includes, for a first injection well of the hydrocarbon reservoir: receiving injection rate data and production rate data, establishing a plurality of time windows based on breakthrough time of each production well that has broken through until the current date, and running capacitance resistance modeling for each established time window to generate interwell connectivities for each well pair. The embodiment further includes determining a value of injected fluid for the first injection well as a function of time in the future using a continuous function estimated interwell connectivity and an estimated oil-cut value.

Abstract: Described herein are various embodiments of computer-implemented methods, computing systems, and program products for analyzing a flood operation on a hydrocarbon reservoir. For example, an embodiment of a computer implemented method of using producer centered polygons to identify at least one infill drilling location in a hydrocarbon reservoir having a plurality of producers and at least one injector is provided.

Abstract: A system and method for validating an image segmentation algorithm are provided. The method for validating an image segmentation algorithm comprises: determining a region of interest in an image; segmenting the image from a first point in the region of interest by using a computer-based segmentation algorithm to obtain a first segmentation result; segmenting the image from a second point in the region of interest by using the computer-based segmentation algorithm to obtain a second segmentation result; and comparing the first segmentation result with the second segmentation result to determine a consistency of the computer-based segmentation algorithm.

Abstract: An image acquisition method includes determining the starting position, the ending position of a region of interest, and the value of overlap of the region of interest in the two adjacent sub-images, calculating the number of the sub-images required to be captured, the component of field of view at the direction of tube movement and the positions of the tube and the detector corresponding to each sub-image based on the starting position and the ending position of a region of interest and the value of the overlap. The method also includes moving the tube and the detector to each position and capturing the region of interest to obtain sub-images at the positions, and pasting the several sub-images together to form an image of the said region of interest.

Abstract: The effects of electromagnetic interference (EMI) on X-ray image data is corrected by characterizing the EMI and processing the image data to subtract the EMI effects from the image data. The X-ray image data, along with offset data, are collected in a conventional manner, affected by EMI if present, and EMI-characterizing data is immediately collected thereafter by disabling rows of a digital detector (FET off). The EMI-characterizing data, then, is not affected by the presence of image data, and can be used to characterize the amplitude and frequency of the EMI. The EMI-characterizing data is assured of being in phase with the collected image and offset data due to its collection in the same image acquisition sequence immediately following the collection of image and offset data. Artifacts due to the presence of EMI are thus eliminated from reconstructed images based upon the corrected data.

Abstract: A method and system for ground glass nodule (GGN) segmentation. The invention comprises methods and systems for GGN segmentation using adaptive intensity models in conjunction with Markov random field (MRF) based modeling. The adaptive intensity model overcomes problems associated with low-contrast GGN images. Vessels included by MRF segmentation are removed by shape analysis based on distance maps of the segmentation.

Abstract: The effects of electromagnetic interference (EMI) on X-ray image data is corrected by characterizing the EMI and processing the image data to subtract the EMI effects from the image data. The X-ray image data, along with offset data, are collected in a conventional manner, affected by EMI if present, and EMI-characterizing data is immediately collected thereafter by disabling rows of a digital detector (FET off). The EMI-characterizing data, then, is not affected by the presence of image data, and can be used to characterize the amplitude and frequency of the EMI. The EMI-characterizing data is assured of being in phase with the collected image and offset data due to its collection in the same image acquisition sequence immediately following the collection of image and offset data. Artifacts due to the presence of EMI are thus eliminated from reconstructed images based upon the corrected data.

Abstract: A system and method for validating an image segmentation algorithm are provided. The method for validating an image segmentation algorithm comprises: determining a region of interest in an image; segmenting the image from a first point in the region of interest by using a computer-based segmentation algorithm to obtain a first segmentation result; segmenting the image from a second point in the region of interest by using the computer-based segmentation algorithm to obtain a second segmentation result; and comparing the first segmentation result with the second segmentation result to determine a consistency of the computer-based segmentation algorithm.

Abstract: A method and system for ground glass nodule (GGN) segmentation. The invention comprises methods and systems for GGN segmentation using adaptive intensity models in conjunction with Markov random field (MRF) based modeling. The adaptive intensity model overcomes problems associated with low-contrast GGN images. Vessels included by MRF segmentation are removed by shape analysis based on distance maps of the segmentation.