公开(公告)号：US20190266501A1

公开(公告)日：2019-08-29

申请号：US16149324

申请日：2018-10-02

Applicant: CGG SERVICES SAS

Inventor： Julio TAVARES

IPC: G06N5/04 ,  G06N99/00 ,  G01V99/00

Abstract: A method for predicting mineralogical, textural, petrophysical and/or elastic properties at locations without rock samples based on well log data is provided. The method includes obtaining well log data and values of a target property measured by analyzing rock samples at rock sample locations. The method further includes building and calibrating a prediction model using machine learning algorithms, the well log data and the values of the target property at the rock sample locations. The method then estimates values of the target property at one or more locations without rock samples using the prediction model.

公开(公告)号：US20200033495A1

公开(公告)日：2020-01-30

申请号：US16263876

申请日：2019-01-31

Applicant: CGG SERVICES SAS

Inventor： Julio TAVARES

IPC: G01V1/50 ,  G06F17/18 ,  E21B47/18

Abstract: A method for statistical analysis of geological property values for lateral wells based on seismic-derived attribute values is provided. A grid of points is created for the lateral well. The grid points are then fitted to a subset of seismic bins. The attribute values along the lateral well are estimated from map values associated with the fitted points. Statistical measures of the estimated attribute values are provided for assessing hydrocarbon productivity.