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 includes establishing a dataset of allowed well connections for at least one production well and at least one injection well of the hydrocarbon reservoir. The embodiment includes iteratively modifying the dataset of allowed well connections based on a distance category, a static features category, a dynamic features category, or any combination thereof, where the static features category uses static data of the hydrocarbon reservoir and the dynamic features category uses dynamic data of the hydrocarbon reservoir. The embodiment includes, after iteratively modifying the dataset of allowed well connections, running capacitance resistance modeling using the modified dataset of allowed well connections as an input.

A method of performing a fracture operation at a wellsite is provided. The wellsite has a fracture network therein with natural fractures. The method involves stimulating the wellsite by injecting an injection fluid with proppant into the fracture network, obtaining wellsite data comprising natural fracture parameters of the natural fractures and obtaining a mechanical earth model of the subterranean formation, defining the natural fractures based on the wellsite data by generating one or more realizations of the natural fracture data based on a statistical distribution of natural fracture parameters, meters, generating a statistical distribution of predicted fluid production by generating a hydraulic fracture growth pattern for the fracture network over time based on each defined realization and predicting fluid production from the formation based on the defined realizations, selecting a reference production from the generated statistical distribution, and optimizing production and uncertainty by adjusting the stimulating operations based on the selecting.

Examples of techniques for generating a high-resolution lithology model for subsurface formation evaluation are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes determining, by a processing device, a low-resolution lithology volumetric model. The method further includes comparing, by the processing device, the low-resolution lithology volumetric model to a high-resolution imaging log. The method further includes calculating, by the processing device, a dynamic boundary curve for each of a plurality of moving windows. The method further includes generating, by the processing device, the high-resolution lithology model based at least in part on the calculated dynamic boundary curve for each of the plurality of moving windows. The method further includes controlling a drilling operation based at least in part on the high-resolution lithology model.

The present disclosure provides a method for optimizing bunch distance of fractured horizontal wells of shale gas, which relates to the technical field of oil exploration. The method comprises first establishing a stress field distribution model for a single fracture; then establishing an induced stress distribution model of segmented single-bunch fracturing for a horizontal well; later establishing an induced stress distribution model of segmented multi-bunch fracturing for a horizontal well; last optimizing fracturing parameters and fracture distance according to the distribution pattern of the induced stress difference. The method considers the stress barrier, stress interference effects, and the variation of the effective net pressure during the synchronous expansion of fractures, so the calculation model is more in line with the actual working conditions, has higher precision, and can provide more accurate theoretical guidance for the optimization design of segmented multi-bunch fracturing of a horizontal well.

There is described embodiments relating to a method of determining a wave field in an anisotropic subsurface of the Earth. The method includes numerically solving a decoupled quasi-acoustic single wave mode wave equation based on spatially varied anisotropic parameters, to determine the wave field in the anisotropic subsurface.

Methods, apparatus, systems, and computer-readable media are set forth for processing exploration and production data to make such data more readily searchable for clients seeking to leverage the data for analytics and other services. The exploration and production data can be processed to generate a graph database that includes multiple nodes and node edges. The nodes can represent different portions of an exploration and production system, and the node edges can represent relationships between the different portions of the exploration and production system. Search suggestions be auto-filled at an interface of the graph database based on data available at the graph database. In this way, a user can be readily provide detailed search queries, without having to be completely cognizant of all the data available in the graph database.

Innovative aspects of the subject matter described in this specification may be embodied in methods that include obtaining a seismic data image. A first plane-wave destruction filter dip estimation is applied to the seismic data image to generate an initial dip model. A second plane-wave destruction filter dip estimation is applied to the seismic data image using the initial dip model to generate a pattern-guided dip estimation. The pattern-guided dip estimation is stored in a data store.

Systems and methods in accordance with embodiments of the invention are software models that present information in a format directly usable by stormwater managers to inform annual program decisions and consistently evaluate the effectiveness of stormwater management actions. Stormwater modeling systems in accordance with many embodiments of the invention provide a tool that can be used by stormwater managers to estimate load reductions. In a number of embodiments, a user interface is provided that streamlines user input data requirements. In this way, the stormwater modeling system can extend the utility of event-based model inputs, generate results that inform management decisions, and demonstrate progress using a common scalable unit.

One embodiment of generating a pore pressure prediction through integration of seismic data and basin modeling includes crossplotting seismically derived velocities and effective stress at spatial coordinates; defining seismic transform functions and an uncertainty range from the crossplotting; transforming the seismically derived velocities into calculated effective stress using selected seismic transform functions and calculating pore pressure using an equation transforming the calculated effective stress into calculated pore pressure; identifying a subset of the selected seismic transform functions, where the subset is identified in response to the calculated pore pressure being adequate based on a comparison; using an inverse of the subset to convert the effective stress from the basin model into basin model derived velocities; building a hybrid velocity model by selecting velocities from the basin model derived velocities or from the seismically derived velocities in each region; and generating a digital seismic image using the hybrid velocity model.

Methods for using shut-in pressures to determine uncertainties in a hydraulic fracturing process in a shale reservoir are described. Data commonly collected during multistage fracturing is used to calculate propped fracture height and induced stresses, as well as other variables, in the presence of horizontal stress anisotropy. These variables can then be incorporated into reservoir simulations for fracturing monitoring, forecasting hydrocarbon recoveries, or modifying fracturing plans.