公开(公告)号：US11230913B2

公开(公告)日：2022-01-25

申请号：US15152242

申请日：2016-05-11

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Hector M. Klie ,  Phil D. Anno ,  Stacey C. Ramsay

IPC: E21B44/04

Abstract: The invention relates to a method, system and apparatus for determining real-time drilling operations dysfunctions by measuring the power-loss of signal propagation associated with a drill string in a wellbore. The invention comprises acquiring a first time series from a mid-string drilling sub sensor associated with a drill string in a wellbore and acquiring a second time series from a sensor associated with the drill string wherein the sensor is on or near a drill rig on the surface of the earth. The process further comprises determining the geometry of the wellbore and determining model parameters alpha and beta for characterizing a wellbore using the first time series, the second time series and the geometry of the wellbore by deriving a power loss of signal propagation. The model parameters may then be used for drilling a subsequent well using surface sensor acquired data to detect drilling dysfunctions.

公开(公告)号：US10519759B2

公开(公告)日：2019-12-31

申请号：US14685249

申请日：2015-04-13

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Hector M. Klie

IPC: G06F15/18 ,  G06N3/08 ,  E21B43/24 ,  G06F17/50 ,  E21B43/00 ,  G06N20/00

Abstract: The present disclosure describes the use of growth models and data driven models that are combined for quickly and efficiently modeling SAGD reservoir oil production. Growth function surrogate models are used for efficient and reliable reservoir modeling and production forecasting as opposed to CPU intensive simulations based on finite difference models. A data-driven technique can then compare the growth function surrogate model with real field data to find discrepancies and inconsistencies between the two, allowing for an updates and improvements of the growth function model.