Conocophillips Company

Other

Hector M Klie

Phil Dean Anno

Stacey C Ramsay

Hari H Sudan

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.

Power loss dysfunction characterization

Systems and methods compute dysfunctions via amplitude envelopes that deviate from a mean (normal) state behavior. The envelope function is constructed from a recursive application of the maximum signal value within a given window size. The aforementioned operations are causal and computationally affordable as relative short moving windows are required to trail the current point. Therefore, the proposed envelope and dysfunction calculations are amenable for any source of data streams measured at high sample rates. The effectiveness of the computing is validated as representing multiple physics in real time field drilling operations.

System and method for event detection using streaming signals

The disclosure relates generally to a parallel computing framework designed to accelerate intensive kernel operations and address the complex physics in numerical reservoir simulations by effectively using the 'many-core' computing platform. Specifically, this Many-core Advanced Parallel Simulation (MAPS) uses heuristics to decide the optimal hardware configurations and optimal software components for a given problem's characteristics to efficiently design a model.

Advanced parallel 'many-core' framework for reservoir simulation

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.

Growth functions for modeling oil production

An efficient percolation aggregation solver methodology captures media connectivity and continuity to reliably incorporate relevant flow solution trends in subterranean formation models. The approach allows introduction of meaningful physical information that is generally overlooked by state-of-the-art algebraic algorithms in the solution process. Percolation aggregation extends the efficiency and robustness of solution methods used to solve scientific and engineering problems.

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Houston, TX, United States of America

Hector M Klie