The disclosed embodiments include thin film multivariate optical element and detector combinations, thin film optical detectors, and downhole optical computing systems. In one embodiment, a thin film multivariate optical element and detector combination includes at least one layer of multivariate optical element having patterns that manipulate at least one spectrum of optical signals. The thin film multivariate optical element and detector combination also includes at least one layer of detector film that converts optical signals into electrical signals. The thin film optical detector further includes a substrate. The at least one layer of multivariate optical element and the at least one layer of detector film are deposited on the substrate.

A system, method and program product for evaluating a prospect. The method includes: receiving prospect information regarding a prospect for natural resource exploration; extracting a set of characteristics based on the prospect information; identifying a set of similar prospects and a set of prospect exploration results, based on the set of characteristics; receiving a success estimate for the prospect; validating the success estimate based on the set of characteristics, the set of similar prospects, and the set of prospect exploration results to determine inconsistencies in the success estimate; and approving the success estimate or receiving an updated success estimate, based on the inconsistencies in the success estimate.

A system, method and program product for evaluating a prospect. The method includes: receiving prospect information regarding a prospect for natural resource exploration; extracting a set of characteristics based on the prospect information; identifying a set of similar prospects and a set of prospect exploration results, based on the set of characteristics; receiving a success estimate for the prospect; validating the success estimate based on the set of characteristics, the set of similar prospects, and the set of prospect exploration results to determine inconsistencies in the success estimate; and approving the success estimate or receiving an updated success estimate, based on the inconsistencies in the success estimate.

A method for identifying one or more imaging properties. The method may comprise identifying one or more candidate mud constants, taking one or more measurements from a borehole with a downhole tool to form an image log, inputting into a machine learning model one or more inputs such that the machine learning model outputs one or more estimated imaging properties, and inputting into a forward model at least the one or more estimated imaging properties and the one or more candidate mud constants such that the forward model outputs one or more reconstructed tool responses. The method may further comprise computing a misfit between the one or more reconstructed tool responses and the one or more measurements, picking a mud candidate from the one or more candidate mud constants based at least in part on the misfit, and producing one or more imaging properties from the picked mud candidate.

A method for identifying one or more imaging properties. The method may comprise identifying one or more candidate mud constants, taking one or more measurements from a borehole with a downhole tool to form an image log, inputting into a machine learning model one or more inputs such that the machine learning model outputs one or more estimated imaging properties, and inputting into a forward model at least the one or more estimated imaging properties and the one or more candidate mud constants such that the forward model outputs one or more reconstructed tool responses. The method may further comprise computing a misfit between the one or more reconstructed tool responses and the one or more measurements, picking a mud candidate from the one or more candidate mud constants based at least in part on the misfit, and producing one or more imaging properties from the picked mud candidate.

Embodiments include a method for retrieving atmospheric aerosol based on statistical segmentation. Firstly a multi-band remote sensing image including an apparent reflectance and an aerosol optical thickness look-up table corresponding to a retrieval band is obtained, then pixels are partitioned and screened according to apparent reflectance segments of a mid-infrared 2.1 micrometer band. After that the retained pixel sets are further partitioned and screened according to the apparent reflectance segments of the mid-infrared 1.6 micrometer band. Finally the obtained pixel sets are partitioned into two categories according to the pixel number, one category including pixels having more pixels, the other including those with less pixels. The category with more pixels is taken as the reference part for retrieval.

Systems, methods, and devices are provided for radiation detector windows that have an improved shape or density and/or provide collimation of radiation that passes through. Thus, a radiation-based logging tool may include a source that emits radiation and a detector that detects, through a detector window, a first portion of the radiation scattered off of a geological formation. The detector window may include a dome having a first surface and a second surface and a support structure that provides support for the dome. The detector window may include a window insert that shields the detector from a second portion of the radiation.

A sensor device includes a tubular body having a first end and a second end opposite the first end, a pressure plug on the first end of the tubular body, and a sensor tip on the second end of the tubular body, wherein the sensor tip comprises an open end opposite the tubular body and an optical tip removably positioned through the open end and held in place by a removable cap. The optical tip includes an optical rod and a rod holder. The sensor device further includes an optical fiber extending from the pressure plug, through the tubular body, and into the sensor tip where the optical fiber is optically coupled to the optical rod. The pressure plug may include a slack cavity where the optical fiber is in slack under neutral temperature and pressure conditions to withstand expansion of the sensor device under high temperature or pressure conditions.

A sensor device includes a tubular body having a first end and a second end opposite the first end, a pressure plug on the first end of the tubular body, and a sensor tip on the second end of the tubular body, wherein the sensor tip comprises an open end opposite the tubular body and an optical tip removably positioned through the open end and held in place by a removable cap. The optical tip includes an optical rod and a rod holder. The sensor device further includes an optical fiber extending from the pressure plug, through the tubular body, and into the sensor tip where the optical fiber is optically coupled to the optical rod. The pressure plug may include a slack cavity where the optical fiber is in slack under neutral temperature and pressure conditions to withstand expansion of the sensor device under high temperature or pressure conditions.

A method and devices for estimating a mechanical property of a rock joint are presented. The method comprises obtaining a plurality of at least partly overlapping photos of the rock joint by at least one optical sensor comprised in a device, wherein said photos represents the rock joint from different perspectives or positions, generating a digital three-dimensional representation of the rock joint based on said plurality of photos, and determining the mechanical property of the rock joint based on the generated digital three-dimensional representation