Estimating wear on bottom hole assembly (BHA) components utilizes a rock hardness index using analysis of drill cutting. Estimating the amount of wear on borehole assembly components comprises measuring the rock properties in drilled cuttings from a borehole. A hardness value is assigned to each mineral present in the drilled cuttings. A hardness index is calculated for a drilled borehole interval. A wear resistance factor is assigned to each BHA component of the BHA. The wear resistance factor depends on the wear resistance of each BHA component. A wear value for each BHA component is calculated based on the hardness index for the drilled borehole interval, the wear resistance of the BHA component, and drilling parameters.

The present disclosure provides a method and system for acquiring an elastic modulus of a rock containing sedimentary rhythms, including: acquiring a rock sample containing sedimentary rhythms; measuring contents of rock elements in the rock sample at test points with an X-ray fluorescence (XRF) spectrometer, the test points being provided on different rhythms of the rock sample; determining a lithology of the rock sample according to the contents of the rock elements; determining an element-mineral relation equation according to the lithology; determining mineral components of the rock sample with the lithology and the element-mineral relation equation; determining a modulus coefficient of each of minerals according to the mineral components; and determining an elastic modulus of the rock sample according to the mineral components and the modulus coefficient of each of the minerals. The present disclosure can implement nondestructive testing on mechanical properties of rock samples.

A geological analysis system, device, and method are provided. The geological analysis system includes sensors, including an X-ray fluorescence (XRF) unit, which detect properties of geological sample materials, a sample tray which holds the geological sample materials therein, and a processor. The XRF unit includes a body and a separable head unit and an output port configured to emit helium onto the geological sample materials within the sample tray. The sample tray includes chambers formed in an upper surface, ports, and passages, each providing communication between an interior of a chamber and an interior of a port. The ports are configured to be attachable to vials. The processor is configured to automatically position at least one of the sensors and the sample tray with respect to the other of the at least one of the sensors and the sample tray and to control the sensors.

A method for real time on-stream analysis of oil sands composition is disclosed comprising the steps of detecting a moisture content of an oil sands stream using a microwave transmission analyzer, detecting an elemental composition of the oil sands stream using a prompt gamma neutron activation analyzer and calculating a content of hydrocarbons, clays and sands in the oil sands stream. The total clay amount in the oil sands stream is based on the detected gamma spectra of several elemental components of the oil sands stream, such as sodium, magnesium, potassium, calcium and iron.

A system and method for identifying lithology based on images and XRF mineral inversion solving the problem that conventional lithology identification relies on manual work, which is time-consuming, subjective and can cause misjudgment. The identification system includes an autonomous vehicle; an X ray fluorescence spectrometer probe, and tests surrounding rock element information; image collection device; and vehicle-mounted processor. The processor inverts the received surrounding rock element information into mineral information based on a Barthes-Niggli standard mineral calculation method; and receive surrounding rock images and a corresponding inclination angle thereof, convert the surrounding rock images into image information in a one-dimensional vector format, splice the image and mineral information which is in a one-dimensional format, and distinguish the spliced information based on a preset neural network to identify rock lithology.

A sensor apparatus includes a sensor head and a measurement unit. The sensor head includes a first probe and a second probe. The first probe includes a first tiny antenna section for transmission and a second tiny antenna section for transmission. The second probe is arranged at a predetermined distance from the first probe, and includes a first tiny antenna section for reception and a second tiny antenna section for reception. The measurement unit generates a measurement signal that includes information regarding characteristics of a propagation of an electromagnetic wave in a medium between the first tiny antenna section for transmission and the first tiny antenna section for reception, and information regarding characteristics of the propagation of the electromagnetic wave in the medium between the second tiny antenna section for transmission and the second tiny antenna section for reception. The first probe and the second probe have different probe lengths, or a distance between the first tiny antenna section for transmission and the first tiny antenna section for reception, and a distance between the second tiny antenna section for transmission and the second tiny antenna section for reception are different from each other.

This application addresses an integrated smart system to control the variables involved in the process for melting mineral concentrates. Specifically, it addresses an integrated smart system that allows the whole melting process operation to be controlled, measuring the mineralogical quality and quantity of the concentrate that is injected into the melting furnace, as well as variables such as the temperature, the level of the liquid phases and the percentage of copper within the furnace. In this manner, by reading said variables, it acts autonomously on manipulated variables, considering uncertainties, allowing a stable temperature to be maintained in the reactor, allowing products to be obtained at the required quality and controlling the liquid phases therein, among other controlled variables, to achieve efficient melting.

A rock modeling method is disclosed. An effective rock property of a rock sample is determined based on a digital rock. Instead of upscaling rock properties, the digital rock is constructed by upscaling relationships and rock physics models of segmented rock materials. Relationships between different scalar, elastic, and petrophysical properties of different segmented rock materials are established at the high-resolution scale where the pore structure is resolved. These relationships are then applied to the same rock material at the macro-scale. Finally, the effective rock properties are computed using Darcy-like solver to get the final values at a representative rock volume. Embodiments allow for performing non-destructive fluid/solid substitution and other reproducible digital experiments to study control factors that affect these relationships within rocks. Accordingly, for unconventional reservoirs, organic matter porosity can be filled with organic matter (kerogen) to build a rock physics model based on kerogen maturity and pore size.

A system and methods for petro-steering methodologies are provided. An exemplary method obtains rock fabric data, and integrate rock fabric data with dynamic productivity data to identify patterns between the rock fabric data and dynamic productivity data. Gas rates and steering values are predicted across UBCT wells based on the patterns.

Provided is a portable XRF data screening method for heavy metal contaminated soil, relating to the technical field of heavy metal contamination test. The method includes the following steps: (1) laboratory test; (2) XRF test; and (3) calculation of a recheck interval: dividing test data into four areas by a contaminant screening value X.sub.c as a horizontal line and a correlation-derived site screening value as a vertical line to calculate the recheck interval. The method is simple and efficient, and is beneficial to saving investigation costs and shortening a project cycle.