Halliburton Energy Services, Inc.

Ingrain, Inc.

Rdsp I L.p.

Ohm, Inc.

Joel D Walls

Elizabeth Diaz

Jack Dvorkin

M Turhan Taner

Bryan Guzman

Marcus Ganz

Jonas Toelke

Naum Derzhi

Abraham S Grader

Yaoming Mu

Kathryn Elizabeth Washburn

Michael Suhrer

Avrami Grader

Gustavo Carpio

Peter Harris

Timothy Cavanaugh

Anyela Morcote

Boaz Nur

Venkata Ajay Gundepalli

Michael Foster

Sonia Jam

Naum M Derzhi

Methods and systems for characterizing a wellbore depth interval from rock fragments, including a method that includes converting measurements of a bulk rock fragment sample and of individual rock fragment samples to a concentration percent, computing a normalization deviation for each of the individual rock fragment samples relative to the bulk rock fragment sample (said normalization deviation being derived from the concentration percent of the bulk and individual rock fragment samples) and ranking the individual rock fragment samples based on a corresponding normalization deviation. The method further includes selecting one or more individual rock fragment samples based on a corresponding ranking, characterizing the properties of the wellbore depth interval from which the bulk and individual rock fragment samples originated using measured properties of at least some of the selected individual rock fragment samples and presenting to a user the characterized wellbore depth interval.

Characterizing a wellbore depth interval from rock fragments

A method for determining porosity associated with organic matter (PAOM) in a well or formation is provided. A system for performing the method is also provided.

Method for determining porosity associated with organic matter in a well or formation

A method for analyzing fluid characteristics of a geological sample with laser-induced breakdown spectral measurements performed on the geological sample, spectral pre-processing performed as necessary, and subsequent analysis is applied to the collected data to determine at least one fluid parameter of the sample. The method can provide a more rapid and reliable method to estimate fluid properties of a geological sample. A system for performing the method also is provided.

Fluid characterization of porous materials LIBS

A method includes receiving images of a rock sample. The method also includes modifying a set of voxels related to one or more of the received images by applying a digital pore growing operation that changes non-pore voxels surrounding a pore space to pore voxels, wherein the digital pore growing operation is based at least in part on a predetermined dead oil estimate. The method also includes estimating a property of the rock sample based at least in part on the modified set of voxels.

Digital pore alteration methods and systems

Methods and systems for cuttings-based well logging, including a method that includes converting measurements of cuttings samples from one or more depth intervals of a wellbore to a concentration percent of one or more elements, determining a one or more minerals of the cuttings samples from the concentration percent and building a mineralogy model for the cuttings sample based at least in part on a gravimetric conversion of the concentration percent of at least some of the one or more elements to a concentration percent of the one or more minerals. The method further includes normalizing the concentration percent of the one or more minerals, computing a photo-electric absorption factor (PEF) of the cuttings samples for each of the one or more depth intervals, and presenting to a user a log of the computed PEF as a function of wellbore depth.

Cuttings-based well logging

A method for estimating properties of porous media, such as fine pore or tight rocks, is provided. The method comprises digital image scanning of sequential sub-samples of porous media at progressively higher resolution to systematically identify sub-sections of interest within the original sample and then estimate properties of the porous media. The resulting properties of the porous media then can be optionally upscaled to further estimate the properties of larger volumes of the porous media such as rock facies or subterranean reservoirs. A system operable for conducting the method also is provided.

Method and system for estimating properties of porous media such as fine pore or tight rocks

A method of evaluating a reservoir includes a multi-energy X-ray CT scan of a sample, obtaining bulk density and photoelectric effect index effect for the sample, estimation of at least mineral property using data obtained from at least one of a core gamma scan, a spectral gamma ray scan, an X-ray fluorescence (XRF) analysis, or an X-ray diffraction (XRD) analysis of the sample, and determination of at least one sample property by combining the bulk density, photoelectric effect index, and the at least one mineral property (e.g., total clay content). Reservoir properties, such as one or more of formation brittleness, porosity, organic material content, and permeability, can be determined by the method without need of detailed lab physical measurements or destruction of the sample. A system for evaluating a reservoir also is provided.

Method of determining reservoir properties and quality with multiple energy X-ray imaging

Joint processing of seismic and controlled source electromagnetic (CSEM) surface data is performed by using a common rock physics model which relates reservoir properties (such as porosity, lithology, saturation, and shaliness) to surface seismic AVO (or AVA) data. This allows one to determine how perturbations in the reservoir properties affect surface data. This can be carried out by systematically changing the reservoir properties and examining the effect on the synthetic data. This allows the hydrocarbon type of a reservoir to be established, e.g. oil or gas, as well as the saturation level of the hydrocarbon in the reservoir, which is useful for determining whether the reservoir has a non-commercial, low hydrocarbon saturation or a commercial, high hydrocarbon saturation.

Geophysical surveying

A method for seismic characterization of subsurface Earth formations includes determining at least one of compressional velocity and shear velocity, and determining reservoir parameters of subsurface Earth formations, at least including density, from data obtained from a wellbore penetrating the formations. A quality factor for the subsurface formations is calculated from the velocity, the density and the water saturation. A synthetic seismogram is calculated from the calculated quality factor and from the velocity and density. The synthetic seismogram is compared to a seismic survey made in the vicinity of the wellbore. At least one parameter is adjusted. The synthetic seismogram is recalculated using the adjusted parameter, and the adjusting, recalculating and comparing are repeated until a difference between the synthetic seismogram and the seismic survey falls below a selected threshold.

Method for determining formation quality factor from well log data and its application to seismic reservoir characterization

The invention in a first embodiment comprises a system for generating an estimate of lithological characteristics of a region of the earth's subsurface. A correlation is generated between attributes of synthetic seismic data calculated from log data from at least one wellbore penetrating said region and lithological information from said at least one wellbore. The correlation is then applied to recorded seismic data from the region of the earth's subsurface to generate the estimate.

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Morgan Hill, CA, United States of America

Joel D Walls