Science-ing Up Deep Earth Drill Bit Design · • Drill string analysis • Physics Models •...

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Science-ing Up Deep Earth Drill Bit Design With MATLAB Production Server CHRISTOPHER BREMER SOFTWARE ENGINEERING LEAD NOVEMBER 18, 2020

Transcript of Science-ing Up Deep Earth Drill Bit Design · • Drill string analysis • Physics Models •...

Page 1: Science-ing Up Deep Earth Drill Bit Design · • Drill string analysis • Physics Models • Design Verification • CAD Software • Drill Bit Design Science-ing up Deep Earth

Science-ing Up Deep Earth Drill Bit Design

With MATLAB Production Server

CHRISTOPHER BREMERSOFTWARE ENGINEERING LEAD

NOVEMBER 18, 2020

Page 2: Science-ing Up Deep Earth Drill Bit Design · • Drill string analysis • Physics Models • Design Verification • CAD Software • Drill Bit Design Science-ing up Deep Earth

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Deep Earth Drill Bits

ROLLER CONE • 1909 (Hughes)

• Rotating cutting structures

• 19% market share in 20191

Roller Cone vs PDC

POLYCRYSTALLINE DIAMOND COMPACT (PDC)• 1971 (GE)

• Fixed blades

• Cutters brazed on blade

Diamond cutting surface

Fine control over placement

• 81% market share in 20191

Science-ing up Deep Earth Drill Bits - 11/18/20 | 1 NOV Internal

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Average Rate of Penetration (ft/h)USA 2010-2020

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Average Depth Drilled per Bit (ft)USA 2010-2020

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Average Depth Out (ft)USA 2010-2020

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Well TypesUSA 2010-2020

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Design Objectives for PDC Bits

Rate of Penetration

• Less rig time = savings

• Efficient transfer of forces from surface to bit

Durability

• Fewer bits to drill a section = savings

• Cutter wear

Steering

• Predictable tool face (torque)

• Minimize walk

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PreCut (Pressurized Cutter Testing)4D shaped cutter vs planar

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Data Driven Bit Design

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ReedHycalog Digital Experience Team

• Field data• Drill string analysis

• Physics Models• Design Verification

• CAD Software• Drill Bit Design

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ReedHycalog Digital Experience Team

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Orbit Architecture

Web Service

Client App

MATLAB Production Server Orbit Database

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Resource

Client

Power BI

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Orbit Client

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Upload Design• Schematic File• Link to CAD

Run Analysis • KPIs• Simulations

Iterate• Design Objectives

Export• Design Review• Sales

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Why MATLAB Production Server?

Separation of concerns

• Intellectual property

• Engineers “own” code

• Performance

Rapid deployment

• Easy to use API

• Few modifications to R&D code

• Automated management of runtime

• Update in place

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Orbit Pipeline

MATLAB Code

• R&D

• Source Control

MPS Template

• Build Script

• Standard API

• .NET / Yeoman

CI/CD

• Automate• Build

• Test

• Deploy

UAT/Production

• Integration

• Validation

• Release

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Case Studies

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Predicting wear

Cutter wear is costly

• Decreased efficiency

• Bits replaced mid section

• Health and Safety

What drives cutter wear?

• Mechanical wear? Abrasion?

• Thermal conditions downhole

Substrate-to-diamond table bond degrades

Diamond degrades

Extreme temperatures accelerate cutter wear

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Mitigating Thermal Wear

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• Cutter Technology• Materials• Manufacturing

Process• Heat generation

• Friction• Propagation• Cutter placement

• Heat transfer• Drilling fluid• Nozzle placement

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A Solution

• Thermal load modelR&D Team (Babaie Aghdam)

Friction & heat propagation

Finite element analysis

Validated in the field (dulls)

Algorithm implemented in MATLAB

• OrbitPipeline

New visualization

Integration with computational fluid dynamics (nozzle placement)

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Thermal Analysis Chart

• Cutters ordered by radius

• Top axis: increase in cutter temperature

• MATLAB model

• Bottom axis: heat transfer (drilling fluid)

• Computational Fluid Dynamics (CFD)

Workflow:

• Run thermal load analysis (Orbit)

• Export to CFD

• Upload CFD output to Orbit

Thermal load vs cooling efficiency

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A better physics model

Extrapolate cutter forces to whole bit.

• Originally based on experiments run at surface.

Material properties of rock change under pressure

Brittle at surface, ductile at depth

A new standard

• Pressurized drilling lab

• Discrete element analysis

• AMBAR Model (Rahmani)

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The Prototype

• Excel spreadsheet

• Extensive VBA routines

• Calculation performed on hidden sheets

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Limitations:

• Hard to maintain, distribute

• User manages artifacts

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AMBAR in Orbit

• IntegrationRewritten in MATLAB

Pipeline

Automated

• No need to manage artifacts

• Continuous improvementMultiple iterations pushed since release

• ReceptionEngineers have greater confidence in output

• Better usage

• Sales support

New Analyses

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Torque Control

Torque variation makes steering harder

• Hooke’s law

• Weight on bit fluctuation

• Torque control components (TCC)

AMBAR

• Better model for TCC

• Better model downhole

• Enables finer analysis like DOCC

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