Abstract: Well completion is accomplished by obtaining a sample of geological material from the subsurface and generating primary data for the sample of geological material. The primary data include textural data, chemical data and mineralogical data. The primary data are used to derive secondary data for the sample of geological material, and the primary data and the secondary data are used to generate tertiary data for the sample of geological material. The tertiary data are a quantification of physical characteristics of the sample of geological material. The primary data, secondary data and tertiary data are used to determine a location of a stage along a well and an arrangement of perforation clusters in the stage.

Abstract: Well completion is accomplished by obtaining a sample of geological material from the subsurface and generating primary data for the sample of geological material. The primary data include textural data, chemical data and mineralogical data. The primary data are used to derive secondary data for the sample of geological material, and the primary data and the secondary data are used to generate tertiary data for the sample of geological material. The tertiary data are a quantification of physical characteristics of the sample of geological material. The primary data, secondary data and tertiary data are used to determine a location of a stage along a well and an arrangement of perforation clusters in the stage.

Abstract: Predicting and quantifying free silicon in a geological formation generates free silicon data for a physical sample obtained from within the geological formation. The free silicon data include identification of portions of the physical sample containing free silicon and a quantification of the free silicon contained in the portions of the physical sample containing free silicon. A modified petro-elastic model for the geological formation comprising rock constituents is generated that incorporates free silicon as one of the rock constituents and that quantitatively models how free silicon changes elastic properties within the geological formation. A three-dimensional model of the geological formation is created that indicates volumes of free silicon throughout the geological formation. The three-dimensional model is created using geophysical data obtained from the physical sample, seismic data covering the geological formation and the modified petro-elastic model.

Abstract: A method for estimating a fracability index for a geological location includes determining a fabric metric and a mineralogical composition metric for a geological sample extracted from a geological location and estimating a fracability index for the geological location from the fabric metric and the mineralogical composition metric. The fabric metric may be a grain related measurement such as grain size or angularity, or a pore-space related measurement such as pore area, diameter, aspect ratio, and circumference, or statistics associated with such measurements. In certain embodiments, determining the mineralogical composition metric includes detecting a prevalence of at least one organic proxy within the geological sample such as vanadium, iron, uranium, thorium, copper, sulfur, zinc, chromium, nickel, cobalt, lead and molybdenum. Determining the mineralogical composition metric may also include detecting a prevalence of one, two, or all of siliciclastics, carbonate and clay.

Abstract: Predicting and quantifying free silicon in a geological formation generates free silicon data for a physical sample obtained from within the geological formation. The free silicon data include identification of portions of the physical sample containing free silicon and a quantification of the free silicon contained in the portions of the physical sample containing free silicon. A modified petro-elastic model for the geological formation comprising rock constituents is generated that incorporates free silicon as one of the rock constituents and that quantitatively models how free silicon changes elastic properties within the geological formation. A three-dimensional model of the geological formation is created that indicates volumes of free silicon throughout the geological formation. The three-dimensional model is created using geophysical data obtained from the physical sample, seismic data covering the geological formation and the modified petro-elastic model.

Abstract: A method for determining pore-space metrics for geological samples may include receiving an image of a geological sample, determining, via image processing, pore-space regions within the image of the geological sample, and measuring the pore-space regions to provide a pore-space metric for the geological sample. The method may also include determining a geo-mechanical property for the geological sample using the pore-space metric and adjusting a hydrocarbon recovery operation according to the pore-space metric or the geo-mechanical property. A corresponding system and apparatus are also disclosed herein.

Abstract: Mechanical and elastic rock properties of a subsurface are predicted using actual physical samples from the subsurface as an alternative to wireline data obtained from wells. Geological rock data are generated from a physical geological sample of the subsurface. These geological rock data include elemental data, mineralogical data and textural data for the subsurface. The geological rock data are used in a rock physics model to generate elastic and mechanical rock properties of the subsurface.

Abstract: A method for estimating a fracability index for a geological location includes determining a fabric metric and a mineralogical composition metric for a geological sample extracted from a geological location and estimating a fracability index for the geological location from the fabric metric and the mineralogical composition metric. The fabric metric may be a grain related measurement such as grain size or angularity, or a pore-space related measurement such as pore area, diameter, aspect ratio, and circumference, or statistics associated with such measurements. In certain embodiments, determining the mineralogical composition metric includes detecting a prevalence of at least one organic proxy within the geological sample such as vanadium, iron, uranium, thorium, copper, sulfur, zinc, chromium, nickel, cobalt, lead and molybdenum. Determining the mineralogical composition metric may also include detecting a prevalence of one, two, or all of siliciclastics, carbonate and clay.

Abstract: A model of geomechanical properties in an underground volume including an oil and/or gas reservoir is obtained using seismic data acquired with sensors placed to probe the underground reservoir, well logs of wells drilled inside the underground volume, and composition information of horizontal, deviated and vertical drill cuttings from the wells. The composition information is used to calibrate the well logs, which are then employed to improve models obtained from the seismic data.

Abstract: A portable device for presenting situation awareness information is provided. The portable device is operable onboard an aircraft and includes a communications module configured to communicate with a data center to receive situation awareness information that includes at least a real-time position for each of a plurality of additional aircraft, a sensor module configured to determine a real-time position of the portable device, and a display device configured to overlay a moving map display with the situation awareness information and the real-time position of the portable device.

Abstract: A method for determining pore-space metrics for geological samples may include receiving an image of a geological sample, determining, via image processing, pore-space regions within the image of the geological sample, and measuring the pore-space regions to provide a pore-space metric for the geological sample. The method may also include determining a geo-mechanical property for the geological sample using the pore-space metric and adjusting a hydrocarbon recovery operation according to the pore-space metric or the geo-mechanical property. A corresponding system and apparatus are also disclosed herein.

Abstract: A portable device for presenting situation awareness information is provided. The portable device is operable onboard an aircraft and includes a communications module configured to communicate with a data center to receive situation awareness information that includes at least a real-time position for each of a plurality of additional aircraft, a sensor module configured to determine a real-time position of the portable device, and a display device configured to overlay a moving map display with the situation awareness information and the real-time position of the portable device.

Abstract: A method for manufacturing a microporous film comprising the steps of:

Abstract: A method for manufacturing a microporous film comprising the steps of: (a) providing a first polymer which is a hydrophobic thermoplastic polymer and a second polymer which is a hydrophilic polymer or copolymer of N-vinylpyrrolidone; (b) dissolving said first and second polymers in a solvent system which is compatible with both polymers, said solvent system comprising a blend of an aprotic organic solvent and an alcohol; (c) coating the resulting solution on a support; (d) effecting at least a partial drying of the resulting coating; and (e) washing the coating in an aqueous medium so as to extract at least 50% by weight of the said second polymer.

Abstract: A method for manufacturing a microporous film comprising the steps of: