METHODS FOR SEPARATING OIL AND WATER ON MULTIDIMENSIONAL NUCLEAR MAGNETIC RESONANCE MAPS
    31.
    发明申请
    METHODS FOR SEPARATING OIL AND WATER ON MULTIDIMENSIONAL NUCLEAR MAGNETIC RESONANCE MAPS 审中-公开
    用于分离多个核磁共振膜上的油和水的方法

    公开(公告)号:US20150130460A1

    公开(公告)日:2015-05-14

    申请号:US14536823

    申请日:2014-11-10

    CPC classification number: G01V3/32 G01N24/081

    Abstract: Methods are provided for separating oil and water signals in multidimensional nuclear magnetic resonance (NMR) maps. In one embodiment, separate multidimensional NMR maps are provided for oil and water content. In another embodiment, an oil-water boundary and a water-gas boundary are generated on a D-T2 map. The boundaries may be curved boundaries or lines.

    Abstract translation: 提供了用于在多维核磁共振(NMR)图中分离油和水信号的方法。 在一个实施方案中,提供用于油和水含量的单独的多维NMR图。 在另一个实施例中,在D-T2图上产生油水边界和水气边界。 边界可以是弯曲的边界或线。

    PROCESSES FOR DETERMINING FORMATION SALINITY AND SATURATION

    公开(公告)号:US20250116190A1

    公开(公告)日:2025-04-10

    申请号:US18483736

    申请日:2023-10-10

    Abstract: Processes for characterizing reservoir formation parameters such as water salinity and water saturation. In some embodiments, the process can include directing a heat impulse into a formation sample that can include a matrix component and a fluid component at an input location. The heat impulse can be allowed to pass through the formation sample such that a matrix impulse forms through the matrix component and a fluid impulse forms through the fluid component. The matrix and fluid impulses can convolve at a measurement location to provide a convolved impulse. A derivative analysis of the convolved impulse can be performed to derive thermal transient measurements. A fluid thermal model can be developed using the thermal transient measurements. The fluid thermal model can be integrated with one or more downhole logs and/or input parameters to create an integrated model. One or more reservoir parameters can be determined from the integrated model.

    RESERVOIR QUALITY PREDICTION AND PROCESSES FOR USING SAME

    公开(公告)号:US20250075620A1

    公开(公告)日:2025-03-06

    申请号:US18461115

    申请日:2023-09-05

    Abstract: Processes for characterizing reservoir formations and directing downhole operations based on the characterized reservoir formations. In some embodiments, the process can include combining at least two downhole logs into input data. An interpretation method can be used to convert the input data into interpretative data. Elemental analysis can be used to convert the interpretative data into at least one formation model. Formation properties can be acquired from the at least one formation model. A reservoir quality classification can be created from the formation properties. The process can also include directing downhole operations using the reservoir quality classification to select a preferred downhole operation location.

    METHODS FOR PREDICTING AND MONITORING DOWNHOLE SALINITY VARIATIONS

    公开(公告)号:US20240418899A1

    公开(公告)日:2024-12-19

    申请号:US18717453

    申请日:2022-05-20

    Abstract: Methods and systems are provided for characterizing connate water salinity and resistivity of a subsurface formation. Well log data including resistivity and spontaneous potential (SP) log data are measured by at least one downhole tool disposed within a borehole. The resistivity and SP log data are inverted to determine a resistivity model and an SP model, which are used to determine connate water resistivity. The connate water resistivity is used to determine connate water salinity. The connate water salinity derived from the inversion of resistivity log data and SP log data (or derived from a trained ML system supplied with such log data) can be used as a baseline measure of connate water salinity, and this baseline measure can be evaluated together with the connate water salinity estimates derived from pulsed neutron tool measurements over time-lapsed periods of production to monitor variation in connate water salinity due to production.

    FIELD OPERATIONS FRAMEWORK
    36.
    发明公开

    公开(公告)号:US20240360758A1

    公开(公告)日:2024-10-31

    申请号:US18644151

    申请日:2024-04-24

    CPC classification number: E21B49/087 E21B2200/22

    Abstract: A method can include receiving downhole formation testing time series data acquired at a location along a borehole in a subsurface region during a formation testing operation performed by a downhole tool; processing the downhole formation testing time series data using a machine learning model to generate smoothed time series data; resampling the smoothed time series data; generating fluid and formation characteristics with respect to time based on the smoothed time series data; and outputting the fluid and formation characteristics with respect to time.

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