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Work Packages

Work Packages Structure

Work Packages

End user requirements analyses, KPI definition, and adaptation

Work Package 1

This work package will finalise the detailed end-user requirements on which the final design architecture of all subsystems of the OptiDrill drilling advisory system will be developed ...

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OptiDrill measurement and monitoring system

Work Package 2

The objectives of this work package to develop - Sensor selection and specification, - Monitoring system, - Data warehouse for project ...

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OptiDrill novel BHA sensor housing

Work Package 3

The objective of this work package is to develop a sensor housing with accelerometers and acoustic sensors that can be added to the existing bottom hole assembly ...

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Full OptiDrill BHA Sensor String

Work Package 4

The objective of this work package is to develop data transmission system to access real-time data from the BHA sensor housing developed at the work package 3 ...

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OptiDrill Well, Drilling, stimulation and completion database

Work Package 5

The objectives of this work packages are: -Create and implement Data Management Plan (DMP) and the Data Life-cycle Management (DLM) strategy to ensure interoperability and long-term ...

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Field-scale downhole simulated conditions drilling and well stimualtion scenarios

Work Package 6

The objectives of this work packages are - generate drilling and logging data missing within operator’s database and - generate drilling data for possible ...

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Machine learning training data preparation and augmentation

Work Package 7

The objective of this work package is to develop and validate ROP prediction machine learning model
Work Package Leader Fraunhofer Gesellschaft zur ...

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Development of real-time lithology prediction machine learning model based on drilling process parameters

Work Package 8

The objective of this work package is to develop the real-time lithology prediction machine learning model ...

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Development of drilling problems detection and prediction machine learning model

Work Package 9

The objective of this work package is to develop and validate drilling problems detection and prediction machine learning model ...

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Development of Well Completion with Jetting machine learning model

Work Package 10

The objective of this work package is to develop and validate well completion with jetting machine learning model.
Work Package Leader Fraunhofer Gesellschaft zur ...

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Development of OptiDrill real-time unified drilling and well stimulation process monitoring and performance optimisation tool

Work Package 11

The objectives of this work packages are - develop federated machine learning ...

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OptiDrill system field-scale drill rig integration

Work Package 12

The objective of this task is to integrate OptiDrill drilling advisory system on a full-scale rig for testing and validation.
Work Package Leader Technovative Solutions LTD (TVS) ...

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OptiDrill system field-scale test and validation in a borehole

Work Package 13

The objective of this task is to perform testing and validation of OptiDrill drilling advisory system ...

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Risk assessment and lifetime analysis on geothermal sustainability and growth

Work Package 14

The objective of this task is (a) to perform full risk analysis and assessment of OptiDrill drilling advisory system and ...

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Exploitation, Dissemination and Communication

Work Package 15

The objectives of this work package are - Increase public awareness of the potential of OptiDrill advisory system, - Manage the collective impact of the consortium throughout the ...

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Project Coordination

Work Package 16

The objectives of this work package are: - Ensure legal, contractual, ethical, financial and administrative management of the project, the grant and consortium, - Coordinate knowledge management, ...

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Ethics requirements

Work Package 17

The objective is to ensure compliance with the 'ethics requirements' set out in this work package. List of Tasks Task 17.1 Ethics requirements ...

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A real-time advisory system for geothermal drilling and well completion optimisation.

Contact

OptiDrill Co-ordinator: Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG), Hansastrasse 27C, Munchen 80686, Germany.

Email: info@optidrill.eu

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OptiDrill project is funded by the European Union's Horizon 2020 Research
and Innovation Action under grant agreement No. 101006964

Copyright © 2021 OptiDrill. All Rights Reserved.

Work Package 1

End user requirements analyses, KPI definition, and adaptation

This work package will finalise the detailed end-user requirements on which the final design architecture of all subsystems of the OptiDrill drilling advisory system will be developed and measured.

Work Package Leader
Geolorn Limited (GEO)

List of Tasks
Task 1.1 User requirements
Task 1.2 Preparation of sensor & data acquisition system design specification
Task 1.3 Define what-if Scenarios
Task 1.4 Selection of the validation site
Task 1.5 KPI Definition

List of Deliverables
D1.1 User requirements report
D1.2 Sensor and data acquisition system specification
D1.3 What-if scenario report
D1.4 Validation site selected
D1.5 OptiDrill KPIs

Work Package 2

OptiDrill measurement and monitoring system

The objectives of this work package to develop
- Sensor selection and specification,
- Monitoring system,
- Data warehouse for project generated rig data storage, and
- Unified data acquisition system for multiple monitoring systems.

Work Package Leader
Technovative Solutions LTD (TVS)

List of Tasks
Task 2.1 OptiDrill Sensor selection and specifications
Task 2.2 Monitoring-system control unit
Task 2.3 Unified data acquisition interface between multiple monitoring systems

List of Deliverables
D2.1 Report on the chosen sensor’s types, sizes and specifications and their respective control specification
D2.2 Monitoring system control unit
D2.3 Unified data acquisition platform

Work Package 3

OptiDrill novel BHA sensor housing

The objective of this work package is to develop a sensor housing with accelerometers and acoustic sensors that can be added to the existing bottom hole assembly (BHA) and nozzle.

Work Package Leader
Precision Varionic International Limited (PVI)

List of Tasks
Task 3.1 Sensor housing material selection
Task 3.2 Sensor string housing, drill rod multi-scale design, and wiring connection construction
Task 3.3 Sensor housing and drill rod connectivity testing

List of Deliverables
D3.1 Sensor housing material selection report
D3.2 : Sensor housing multi-scale design and connectivity
D3.3 : A test report on sensor housing and drill rod connectivity

Work Package 4

Full OptiDrill BHA Sensor String

The objective of this work package is to develop data transmission system to access real-time data from the BHA sensor housing developed at the work package 3.

Work Package Leader
Precision Varionic International Limited (PVI)

List of Tasks
Task 4.1 Full construction of sensor string and prototype testing
Task 4.2 Impact testing of prototype configurations
Task 4.3 Laboratory testing, and optimization of novel sensors and the monitoring system in RDE well enhancement lab.

List of Deliverables
D4.1 Sensor String prototype and upstream data transfer protocol
D4.2 Report on novel nozzle sensor housing testing
D4.3 Report on laboratory optimized Sensor String and monitoring

Work Package 5

OptiDrill Well, Drilling, stimulation and completion database

The objectives of this work packages are:
-Create and implement Data Management Plan (DMP) and the Data Life-cycle Management (DLM) strategy to ensure interoperability and long-term curation,
-Design and deploy a database for drilling and logging data,
-Populate the data warehouse with drilling and logging data, and
-Perform feature engineering.

Work Package Leader
Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG)

List of Tasks
Task 5.1 Data lifecycle and curation strategies
Task 5.2 Data management Plan
Task 5.3 Database creation and population with existing available drilling and logging data
Task 5.4 Interpretation of proposed training legacy databases

List of Deliverables
D5.1 Data lifecycle and curation strategies
D5.2 Data management Plan
D5.3 OptiDrill Database designed, developed and populated
D5.4 Interpretation of proposed training legacy databases

Work Package 6

Field-scale downhole simulated conditions drilling and well stimualtion scenarios

The objectives of this work packages are
- generate drilling and logging data missing within operator’s database and
- generate drilling data for possible drilling, well completion and well stimulation problematic scenarios.

Work Package Leader
Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG)

List of Tasks
Task 6.1 List and review drilling, completion and well stimulation scenarios which are not available within operators’ databases
Task 6.2 List and review possible drilling, completion and well stimulation problematic scenarios such as What-if scenario, Bit wear, Low ROP, Stick-slip vibrations, Pipe failures, Loss of circulation, Excessive torque and drag, and Borehole instability
Task 6.3 Integration of OPTIDRILL data acquisition system with Drilling simulators
Task 6.4 Field testing, monitoring and scenario simulation for all the required scenarios
Task 6.5 Artificial scenario simulated tests and database assessment and implementation

List of Deliverables
D6.1 Report of drilling, well completion and well stimulation scenarios which are not available within operators’ databases
D6.2 Report of possible drilling, completion and well stimulation problematic scenarios
D6.3 Integration of OPTIDRILL data acquisition system with drilling simulators
D6.4 Data generated and populated in the database

Work Package 7

Machine learning training data preparation and augmentation

The objective of this work package is to develop and validate ROP prediction machine learning model

Work Package Leader
Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG)

List of Tasks
Task 7.1 Machine learning training data preparation and augmentation
Task 7.2 Independent Machine learning evaluation of training data
Task 7.3 Development of multiple machine learning and Deep Learning models using various algorithms and AI techniques for drilling and well stimulation ROP prediction and performance optimisation
Task 7.4 Performance efficiency evaluation of each developed ML model
Task 7.5 Statistical validation, assessment and finalization of the most efficient ML model

List of Deliverables
D7.1 Machine learning training data prepared and augmented
D7.2 Machine learning training data independently evaluated
D7.3 ROP prediction ML models developed
D7.4 Performance efficiency of developed ML models evaluated
D7.5 Statistical validation, assessment and ranking of ML model

Work Package 8

Development of real-time lithology prediction machine learning model based on drilling process parameters

The objective of this work package is to develop the real-time lithology prediction machine learning model based on drilling process parameters

Work Package Leader
Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG)

List of Tasks
Task 8.1 Petrophysical interpretation of proposed training legacy data to predict
Task 8.2 Assessment, validation, and correlation of seismic and petrophysical logs interpretation of the input data available for training Lithology ML model
Task 8.3 Development and application of multiple ML models using various algorithms to predict drilled lithology based on drilling parameters
Task 8.4 Evaluation and validation of the developed ML models
Task 8.5 Statistical assessment of the selected ML model and validation of the model predictions based on seismic interpretations

List of Deliverables
D8.1 Petrophysical interpretation report
D8.2 Report on assessment, validation, and correlation of seismic and petrophysical logs interpretation of the input data
D8.3 Drilled lithology prediction ML models developed [M25]
D8.4 Evaluation and validation report of the developed ML models
D8.5 Report on the assessment of the selected ML model and validation of the model predictions based on seismic interpretations

Work Package 9

Development of drilling problems detection and prediction machine learning model

The objective of this work package is to develop and validate drilling problems detection and prediction machine learning model.

Work Package Leader
Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG)

List of Tasks
Task 9.1 Assessment and quantification of drilling problem scenarios to accommodate usage in ML algorithms
Task 9.2 Development of multi-module ML model for major drilling problem scenarios
Task 9.3 Integration of all developed ML model modules as one drilling problem detection and prediction unit
Task 9.4 Statistical assessment and validation of the developed ML model unit

List of Deliverables
D9.1 Report on assessment and quantification of drilling problem scenarios
D9.2 Multi-module ML model for major drilling problem scenarios
D9.3 Integrated drilling problem detection and prediction model
D9.4 Report on statistical assessment and validation of the developed integrated ML model

Work Package 10

Development of Well Completion with Jetting machine learning model

The objective of this work package is to develop and validate well completion with jetting machine learning model.

Work Package Leader
Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG)

List of Tasks
Task 10.1 independent evaluation and preparation of well enhancement and completion process training data for machine learning model development
Task 10.2 Development of Machine learning and Deep Learning model for well stimulation process performance prediction
Task 10.3 Statistical validation, assessment and finalization of the ML model

List of Deliverables
D10.1 Well enhancement and completion process training data prepared for machine learning model development
D10.2 Machine learning and Deep Learning model for well stimulation process performance prediction
D10.3 Report on statistical validation, assessment and finalization of the ML model

Work Package 11

Development of OptiDrill real-time unified drilling and well stimulation process monitoring and performance optimisation tool

The objectives of this work packages are
- develop federated machine learning scheme, and
- develop OptiDrill drilling advisory system prototype

Work Package Leader
Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG)

List of Tasks
Task 11.1 Development of a federated machine learning sharing scheme
Task 11.2 Development of OptiDrill unified, coupled drilling and well stimulation prediction and optimization system
Task 11.3 Drilling real-time advisory system hardware development
Task 11.4 Development and unification of the monitoring system and the final OptiDrill coupled drilling and well stimulation prediction and optimization system

List of Deliverables
D11.1 Federated machine learning approach for OptiDrill
D11.2 OptiDrill unified, coupled drilling and well stimulation prediction and optimization system
D11.3 Drilling real-time advisory system hardware prototype
D11.4 OptiDrill drilling advisory system prototype

Work Package 12

OptiDrill system field-scale drill rig integration

The objective of this task is to integrate OptiDrill drilling advisory system on a full-scale rig for testing and validation.

Work Package Leader
Technovative Solutions LTD (TVS)

List of Tasks
Task 12.1 Integration of the complete developed monitoring system on a full-scale drill rig
Task 12.2 Integration of the Complete OptiDrill Advisory system into a full-scale drill rig
Task 12.3 Test and validation of synchronized functionality of all systems
Task 12.4 Optimization of the entire system based on the test results

List of Deliverables
D12.1 Monitoring system integrated on a full-scale drill rig [M31]
D12.2 OptiDrill Advisory system integrated into a full-scale drill rig
D12.3 Test and validation of synchronized functionality of all systems performed
D12.4 Optimization of the entire system based on the test results

Work Package 13

OptiDrill system field-scale test and validation in a borehole

The objective of this task is to perform testing and validation of OptiDrill drilling advisory system.

Work Package Leader
Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG)

List of Tasks
Task 13.1 Field testing of the OptiDrill system in a real borehole
Task 13.2 Performance efficiency evaluation and field validation of the well enhancement performance prediction ML model
Task 13.3 OptiDrill drilling advisory system performance monitoring and evaluation
Task 13.4 Validation of the OptiDrill system predictions using post-drilling logging and measurements

List of Deliverables
D13.1 Report on field testing of the OptiDrill system
D13.2 Report on validation of the well enhancement performance prediction
D13.3 Report on OptiDrill drilling advisory system performance monitoring and evaluation
D13.4 Report on validation of the OptiDrill system predictions

Work Package 14

Risk assessment and lifetime analysis on geothermal sustainability and growth

The objectives of this task are
- perform full risk analysis and assessment of OptiDrill drilling advisory system and
- demonstrate the potentialities of OptiDrill system to enhance the sustainability and growth of the geothermal power

Work Package Leader
Technovative Solutions LTD (TVS)

List of Tasks
Task 14.1 Risk assessment of OptiDrill drilling advisory system
Task 14.2 Estimate lifetime economic benefits of improved prediction from OptiDrill
Task 14.3 Perform LCA impact with comparative analysis
Task 14.4 OPTIDRILL opportunities on the sustainability of geothermal power
Task 14.5 Social acceptance and socioeconomic issues

List of Deliverables
D14.1 Report on risk assessment OptiDrill
D14.2 Report on the impact of OptiDrill on LCOE
D14.3 Report on the impact of OptiDrill on environmental footprint on geothermal power
D14.4 Report on the impact of OptiDrill on the sustainability of geothermal power
D14.5 Report on social acceptance and socioeconomic issues

Work Package 15

Exploitation, Dissemination and Communication

The objectives of this work package are
- Increase public awareness of the potential of OptiDrill advisory system,
- Manage the collective impact of the consortium throughout the course of the project,
- Identifying and managing individual and collective exploitation opportunities, and
- Monitoring new IPR creation inside (opportunity) and outside (threat) of the consortium.

Work Package Leader
Technovative Solutions LTD (TVS)

List of Tasks
Task 15.1: Dissemination and public events
Task 15.2 Network Patent Analysis to update the state-of-the-art and monitor FTO with project results
Task 15.3 Exploitation activities

List of Deliverables
D15.1 Dissemination and communication strategy document
D15.2 A communication plan (Initial)
D15.3 A dissemination plan (Initial)
D15.4 An updated Communication and Dissemination plans (Intermediate)
D15.5 An updated Communication and Dissemination plans (Final)
D15.6 Initial exploitation strategy plan
D15.7 Development and maintenance of OptiDrill webpage
D15.8 Report on dissemination event and publications
D15.9 Network patent analysis report
D15.10 Network patent analysis report (Initial)
D15.11 Network patent analysis report (Intermediate)
D15.12 Network patent analysis report (Final)
D15.13 Report on the IPR management and patent filing
D15.14 Consortium exploitation plans, periodical updates (Intermediate)
D15.15 Consortium exploitation plans, periodical updates (Final)

Work Package 16

Project Coordination

The objectives of this work package are:
- Ensure legal, contractual, ethical, financial and administrative management of the project, the grant and consortium,
- Coordinate knowledge management, deliverables, milestone reports and cost statements,
- Organize consortium meetings and ensure consortium management,
- Coordinate payments and distribution of funding, and
- Liaise between EC and the consortium.

Work Package Leader
Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG)

List of Tasks
Task 16.1 Legal and contractual management
Task 16.2 Management and updating of consortium agreement
Task 16.3 Financial and administrative management
Task 16.4 Liaison and communication with EC

List of Deliverables
D16.1 Project Management Pan
D16.2 An updated project management plan
D16.3 An updated project management plan

Work Package 17

Ethics requirements

The objective is to ensure compliance with the 'ethics requirements' set out in this work package.

Work Package Leader
Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG)

List of Tasks
Task 17.1 Ethics requirements

List of Deliverables
D17.1 : POPD - Requirement No. 1