A method includes receiving data representing reservoir properties for a subsurface volume, conducting an uncertainty analysis by simulating different model realizations representing the subsurface volume, identifying a first hot spot of the subsurface volume based on the uncertainty analysis, the first hot spot representing an area having a high predicted performance, relative to other areas of the subsurface volume, based on the simulating of the different model realizations representing the subsurface volume, identifying a second hot spot of the subsurface volume using a machine learning model that is trained to predict well performance based on the one or more reservoir properties, evaluating the first and second hot spots for well placement based on the predicted well performance at the first and second hot spots, respectively, and selecting at least one of the first hot spot or the second hot spot for well construction.

A method for the identification of the position of a first well, modelled by a distribution of poles, includes, after having determined an optimum position of each pole, determining a three-dimensional region of uncertainties around the optimum position of each pole, by applying a numerical method characterizing the differences between at least one measurement of the magnetic field and a disturbed theoretical magnetic field by varying the position of at least one pole and comparing a result of the numerical method with a threshold value. If the result is less than or equal to the threshold value, the disturbed position of the pole is considered in the region. The region is thus defined with a centre corresponding to the optimum position of the pole and the radii of which have a length at least equal to the maximum difference between the acceptable positions of the poles and the optimum position.

A method and computer-readable medium for establishing an uncertainty for obtained values of a one-dimensional logging parameter mapped to a three-dimensional volume is disclosed. A relation is formed between the obtained values of the logging parameter and a volumetric parameter of the three-dimensional volume. A set of representative data points is obtained that relates the obtained values of the logging parameter to the volumetric parameter by binning the obtained values. A plurality of regression curves are then determined, wherein each regression curve is obtained by adding a random error to the set of representative data points to obtain a set of randomized data points and performing a regression analysis using the set of randomized data points. The plurality of regression curves are used to establish the uncertainty for the values of the logging parameter in the three-dimensional volume.

Methods and software tools for determining wellbore-strengthening information for a drilling operation, the method including inputting wellbore parameters into a wellbore simulator, importing wellbore-strengthening options into the wellbore simulator, and performing a plurality of wellbore simulations to obtain fracture information, wherein the performing the plurality of wellbore simulations includes selecting at least one of the wellbore parameters and determining the affect of the selected wellbore parameter on the wellbore. The method further includes selecting a wellbore-strengthening option based on the fracture information and outputting the selected wellbore-strengthening option.

A method, including: identifying a well target or reservoir segment; defining a dynamic surface grid, the dynamic surface grid being a representation of a ground surface, sea-level, or subsea surface above a reservoir upon which a drill center is locatable, and the dynamic surface grid including a plurality of cells that define potential locations for the drill center; assigning, to each of the plurality of cells of the dynamic surface grid, a value of a drilling or geologic attribute that defines a quality of a drill center position relative to the well target or reservoir segment; and selecting, based on a value of the drilling or geologic attribute, a location for the drill center corresponding to a location represented on the dynamic surface grid.

A method to offer insight on reservoir compartmentalization through the automation of single- and multi-well formation pressure analysis. The method specifically accounts for the measurement uncertainty and any prior information about the reservoir to draw evidence on at least one of a fluid type, a locating feature of the at least one fluid body, vertical compartmentalization, and lateral compartmentalization.

A method of designing a multi-well fracturing operation comprising determining a probability of a large fracture stress extending from a treatment wellbore contacting an observation wellbore with a fracture model. The treating wellbore and the observation wellbore are arranged in a wellbore pattern within a subterranean formation. Determining with the fracture model a probability of a small fracture stress from a fracturing operation on the observation wellbore providing a threshold value of fracture conductivity to achieve a desired drainage radius for the observation wellbore. Outputting the treatment wellbore, the observation wellbore, the wellbore pattern, and the fracturing operation in response to the volume of fracturing fluid utilized in the observation wellbore being less than a threshold value.

The invention generally relates to methods of modeling and building models of oil-and-gas deposits. More particularly, the invention relates to a computer-implemented method, a computerized system, and a computer-readable medium designed for automated identification of surfaces for building a geologic-hydrodynamic model of an oil and gas deposit based on seismic data. A technical result is the improvement of the accuracy of building a geological-hydrodynamic model of an oil-and-gas deposit. The objective of embodiments of the invention is to provide a method, device, and a non-transitory computer-readable medium designed for the implementation of stages accounting for a considerable part of the entire problem of building a geological-hydrodynamic model, namely, automated (that is, requiring the user to participate only in the stage of initial data input) building of a set of surfaces based on input seismic data. The output surfaces can be used, without additional processing, to construct a geological-hydrodynamic grid.

A hydrocarbon exploration method for determining subsurface properties from geophysical survey data. Rock physics trends are identified and for each trend a rock physics model is determined that relates the subsurface property to geophysical properties (103). The uncertainty in the rock physics trends is also estimated (104). A geophysical forward model is selected (105), and its uncertainty is estimated (106). These quantities are used in an optimization process (107) resulting in an estimate of the subsurface property and its uncertainty.

This invention relates to a method for determining a map of expectation and/or of variance of height of liquid hydrocarbon in a geological model. The method allows analytical resolution of these maps while taking account of the uncertainties in the variables allowing this calculation such as the porosity or oil saturation of the rock and also the uncertainty in the presence of certain types of facies given by the apportionment cubes of architectural elements p.sub.AE(c) and proportion cubes for each facies, these proportions then having a triangular distribution defined by the following three values p.sub.A,AE,min(c), p.sub.A,AE,max(c) and p.sub.A,AE,mode(c). In particular, the method comprises the calculation of the sum of the plurality of architectural elements of p.sub.AE(c).Math.(p.sub.A,AE,min(c)+p.sub.A,AE,max(c)+p.sub.A,AE,mode(c)) and the determining of a value of expectation of height of liquid hydrocarbon for said column as a function of the sum determined.