公开(公告)号：US20230258080A1

公开(公告)日：2023-08-17

申请号：US18014575

申请日：2021-07-02

申请人： Equinor Energy AS

发明人： Tao YANG ,  Margarete Maria KOPAL ,  Ibnu Hafidz ARIEF ,  Gulnar YERKINKYZY ,  Knut ULEBERG

IPC分类号： E21B49/08 ,  G01N33/28 ,  G01N30/02

CPC分类号： E21B49/087 ,  G01N33/2823 ,  G01N30/02 ,  G01N2030/025

摘要： A method is disclosed for generating a machine learning model to predict a reservoir fluid property, such as gas-oil ratio or density, based on standard mud-gas and petrophysical data. It has been found that this model predicts these reservoir fluid properties with an accuracy that is close to that which can be achieved using advanced mud-gas data. This is advantageous, as than standard mud-gas data and petrophysical data is much more readily available than advanced mud-gas data.

公开(公告)号：US20240318551A1

公开(公告)日：2024-09-26

申请号：US18576220

申请日：2022-07-15

申请人： Equinor Energy AS

发明人： Alexandra CELY ,  Tao YANG ,  Ibnu Hafidz ARIEF ,  Gulnar YERKINKYZY ,  Knut ULEBERG

IPC分类号： E21B49/00 ,  E21B7/04 ,  E21B44/00 ,  E21B49/08

CPC分类号： E21B49/005 ,  E21B7/04 ,  E21B44/00 ,  E21B49/0875

摘要： The geochemical parameters of reservoir fluid do not directly and universally correlate with the fluid type of the reservoir fluid, e.g. reservoir oil and reservoir gas. However, within an individual hydrocarbon basin, the local reservoir oils and the local reservoir gases are often geochemically distinct. Therefore, by examining various geochemical parameters for reservoir fluid samples taken from a particular region of interest, it is possible to identify region-specific thresholds for those geochemical parameters, and also to identify particular region-specific thresholds having a high degree of confidence for distinguishing between different reservoir fluid types. Advantageously, many geochemical parameters can be determined using mud-gas data, and in some cases using only standard mud-gas data. Therefore, by collecting mud-gas data when drilling a new well within the region of interest, these region-specific thresholds can be used to generate a substantially continuous and highly accurate reservoir fluid type log along a length of the well. This same technique may also be applied retrospectively to existing wells where mud-gas data was collected at the time of drilling, since at least standard mud-gas data is routinely collected while drilling.

公开(公告)号：US20240318536A1

公开(公告)日：2024-09-26

申请号：US18575455

申请日：2022-06-29

申请人： Equinor Energy AS

发明人： Tao YANG ,  Knut ULEBERG ,  Nan CHENG ,  Gulnar YERKINKYZY

IPC分类号： E21B44/00

CPC分类号： E21B44/00 ,  E21B2200/22

摘要： A method of generating a model for predicting at least one property of a fluid at a sample location within a hydrocarbon reservoir includes simulating behaviour of one or more hydrocarbon reservoirs during production; generating a plurality of simulated fluid samples from the one or more simulated hydrocarbon reservoirs, the plurality of simulated fluid samples corresponding to a plurality of different spatial locations and/or different time locations within the one or more simulated hydrocarbon reservoirs; generating a training data set including input data and target data based on the simulated fluid samples, the input data including simulated mud-gas data for each sample location indicative of mobile and immobile hydrocarbons at the sample location, and the target data including the at least one property of only the mobile hydrocarbons at each sample locations; and constructing a model using the training data set such that the model can be used to predict the at least one property of the fluid at a sample location based on measured mud-gas data for the sample location.