PORE CONTRIBUTION CORRECTED QUANTIFYING OF SURFACE ROUGHNESS

    公开(公告)号:US20210373106A1

    公开(公告)日:2021-12-02

    申请号:US16888134

    申请日:2020-05-29

    Abstract: To separate porosity from surface roughness, length scales for pore size and surface roughness are identified. These length scales are determined from surface roughness measurements and confirmed via NMR pore body calculations and pore size capillary pressure measurements. A filter removes pore contribution to surface roughness measurements and delivers intrinsic surface roughness. Additional filters and methods determine the minimum magnification on which to base surface roughness calculation, based on size of the field of view and where measured surface roughness approaches intrinsic surface roughness as magnification increases but larger magnification increase sampling time and difficulty. Sample irregularities, such as saw marks, are also filtered out or determined to be too large to remove via filter and another area of measurement is located. With the pore corrected quantification of surface roughness, surface relaxivity and pore distribution can be calculated with greater accuracy.

    Accounting for tool based effects in nuclear magnetic resonance logging data

    公开(公告)号:US11143781B2

    公开(公告)日:2021-10-12

    申请号:US16320155

    申请日:2018-02-26

    Abstract: An electromagnet model or models are created to generate the static and radio frequency magnetic fields of an NMR downhole logging tool. The magnetic field distributions are then used in spin dynamics (SD) simulations to model the impacts of various effects on NMR logging data, effects that cannot be accurately describe by theoretical formulation alone. The accuracy of the electromagnetic model and the SD simulation may be verified against experimental observations or trial logging runs. Simulation of electronic circuit, molecular diffusion, tool motion can all be incorporated in the SD simulation. The NMR data inversion process can be modified according to echoes obtained from SD simulation to obtain more accurate petrophysical parameters.

    Dual Zone Nuclear Magnetic Resonance Sensing Device for Subterranean Characterization

    公开(公告)号:US20190285767A1

    公开(公告)日:2019-09-19

    申请号:US15745686

    申请日:2016-08-08

    Abstract: A subterranean characterization and fluid sampling device includes a tool body, a probing module, and a permanent magnet. The tool body includes a fluid testing module configured to retain a fluid sample and an internal radio frequency coil disposed within the tool body and drivable to generate RF magnetic field B2. The probing module is coupled to the tool body and configured to withdraw the fluid sample from a formation and deliver the fluid sample to the fluid testing module. The probing module comprises an external antenna drivable to generate RF magnetic field B1. The permanent magnet induces static magnetic field B0. The permanent magnet is coupled to the tool body and external to the probing module.

    Pressurized NMR core analyzer
    98.
    发明授权

    公开(公告)号:US10317351B2

    公开(公告)日:2019-06-11

    申请号:US15541013

    申请日:2016-09-20

    Abstract: Core samples may been collected in a subterranean formation, preserved downhole in a pressurized nuclear magnetic resonance (NMR) core holder (1) comprising components for NMR imaging and (2) capable of maintaining the core samples at downhole fluid saturation state. For example, a pressurized NMR core holder may comprise a housing capable of containing downhole fluid pressures; a coil holder lining an inside of the housing and defining a core chamber; and one or more NMR coils maintained in a longitudinal position along the housing by the coil holder. Further, a system for performing the NMR imaging may comprise: a holder that maintains a pressurized NMR core holder in a desired position; and one or more magnets that are longitudinally movable along the pressurized NMR core holder.

    Downhole Formation Evaluation using Nuclear Magnetic Resonance Inversion Matrix Reduction

    公开(公告)号:US20190033483A1

    公开(公告)日:2019-01-31

    申请号:US15565735

    申请日:2017-04-17

    Abstract: A formation evaluation system reduces inversion matrixes used to determine formation properties, thereby increasing the memory management and processing efficiency of the evaluation system. NMR data is acquired from a wellbore and expressed mathematically by the system as a least squares solution to a linear system. The least squares solution is approximated using a numerical decomposition method and the evaluation system determines a formation property using the approximated least squares solution. Thereafter, a downhole operation may be planned, analyzed or conducted using the determined formation property.

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