Nano-thermite Well Plug
    143.
    发明申请

    公开(公告)号:US20210087904A1

    公开(公告)日:2021-03-25

    申请号:US17075897

    申请日:2020-10-21

    Abstract: A composition and methods for setting a plug for well bores undergoing plugging and abandonment operations is described. Methods of setting the plug are also described include placing a blocking device below the plug location and creating a void space above the blocking device; placing a heat resistant base plate above the blocking device and introducing nano-thermite clusters and expandable bismuth alloy pellets into the void space; igniting the thermite and cooling the melted alloy to form a permanent plug in the void space.

    Automatic controlling of drilling weight on bit

    公开(公告)号:US10907464B2

    公开(公告)日:2021-02-02

    申请号:US15953043

    申请日:2018-04-13

    Abstract: A method for automatically controlling drilling weight-on-bit for using a drill-string to drill along a wellbore includes establishing a drill-string model and a wellbore model, wherein the drill-string has a plurality of components along the length thereof, and the wellbore has a plurality of sections. A surface tension data of the drill-string can be acquired, and a friction coefficient-depth distribution can be obtained by calibrating the surface tension data in the drill-string model and wellbore model, and the drilling weight-on-bit can be predicted according to the calibrated drill-string and wellbore models.

    Seismic data acquisition using designed non-uniform receiver spacing

    公开(公告)号:US10823867B2

    公开(公告)日:2020-11-03

    申请号:US16723738

    申请日:2019-12-20

    Abstract: The presently disclosed technology relates to an arrangement for seismic acquisition where the spacing between adjacent pairs of receiver and sources lines is not all the same. Some receiver and/or source lines and/or receiver and/or source spacings are larger and some are smaller to provide a higher quality wavefield reconstruction when covering a larger total area or for a similar total area of seismic data acquisition, while providing a wavefield that is optimally sampled by the receivers and sources so that the wavefield reconstruction is suitable for subsurface imaging needs.

    Non-uniform optimal survey design principles

    公开(公告)号:US10809402B2

    公开(公告)日:2020-10-20

    申请号:US15641916

    申请日:2017-07-05

    Abstract: Method for acquiring seismic data is described. The method includes determining a non-uniform optimal sampling design that includes a compressive sensing sampling grid. Placing a plurality of source lines or receiver lines at a non-uniform optimal line interval. Placing a plurality of receivers or nodes at a non-uniform optimal receiver interval. Towing a plurality of streamers attached to a vessel, wherein the plurality of streamers is spaced apart at non-uniform optimal intervals based on the compressive sensing sampling grid. Firing a plurality of shots from one or more seismic sources at non-uniform optimal shot intervals. Acquiring seismic data via the plurality of receivers or nodes.

    Poromechanical impact on yield behavior in unconventional reservoirs

    公开(公告)号:US10794179B2

    公开(公告)日:2020-10-06

    申请号:US16046419

    申请日:2018-07-26

    Abstract: A method for obtaining hydrocarbon from a reservoir in a subterranean formation can include measuring a poromechanic pressure change due to lithostatic load sharing in the subterranean formation. The poromechanic pressure change can then be mapped to one or more locations within the subterranean formation. Once mapped, the method can identify one or more local pressure peaks in the poromechanic pressure change, wherein each of the one or more local pressure peaks are marked by a pressure escalation and subsequent pressure depletion. The method can then determine one or more regions within the reservoir exhibiting single phase hydrocarbon production.

    MACHINE-LEARNING BASED FRACTURE-HIT DETECTION USING LOW-FREQUENCY DAS SIGNAL

    公开(公告)号:US20200309982A1

    公开(公告)日:2020-10-01

    申请号:US16815378

    申请日:2020-03-11

    Abstract: Various aspects described herein relate to a machine learning based detecting of fracture hits in offset monitoring wells when designing hydraulic fracturing processes for a particular well. In one example, a computer-implemented method includes receiving a set of features for a first well proximate to a second well, the second well undergoing a hydraulic fracturing process for extraction of natural resources from underground formations; inputting the set of features into a trained neural network; and providing, as output of the trained neural network, a probability of a fracture hit at a location associated with the set of features in the first well during a given completion stage of the hydraulic fracturing process in the second well.

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