Hydraulic fracture analysis
    2.
    发明授权

    公开(公告)号:US10808521B2

    公开(公告)日:2020-10-20

    申请号:US15715146

    申请日:2017-09-25

    Inventor: Kyle Friehauf

    Abstract: This disclosure describes a method of assessing fractures in an underground formation using temperature profile measured by a DTS. The fractures can be identified by a temperature profile established by the feedback signals obtained from the DTS, but the DTS measurements are made at least 36 hours after a stage is fractured and during shut-in, thus allow crossflow and other noise sources to abate. Further, the size of the temperature differential is indicative of fracture spacing or density, not volume of fluid flow as thought in the prior art. Thus, these methods can be used to optimize the next stage or next well in a fracturing program.

    Matrix temperature production logging tool and use

    公开(公告)号:US10941647B2

    公开(公告)日:2021-03-09

    申请号:US16659102

    申请日:2019-10-21

    Abstract: A matrix production logging tool for measuring the temperature of produced fluids in a wellbore is described. Accurate production allocation to the pathways between the oil/gas well and the reservoir provides required data for the economic optimization of the techniques and procedures used to complete future wells and optimize the existing well. The low maintenance tool provides precise uphole, downhole and inflow temperature measurements of produced fluids within the wellbore. These are obtained at a plurality of locations along the oil/gas well as the tool is withdrawn, thus providing a matrix of temperature measures along the length of the well. From the temperature traces, inflow as well as up and downhole temperature, can be determined, and mass contribution at each inlet determined. With this method, a production profile along the entire well can be determined as used in further well optimization efforts.

    Production logging inversion based on DAS/DTS

    公开(公告)号:US11021934B2

    公开(公告)日:2021-06-01

    申请号:US16401620

    申请日:2019-05-02

    Abstract: A method of optimizing production of a hydrocarbon-containing reservoir by measuring low-frequency Distributed Acoustic Sensing (LFDAS) data in the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow and simultaneously measuring Distributed Temperature Sensing (DTS) data from the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow. An initial model of reservoir flow is provided using the LFDAS and DTS data; the LFDAS and DTS data inverted using Markov chain Monte Carlo method to provide an optimized reservoir model, and that optimized profile utilized to manage hydrocarbon production from the well and other asset wells.

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