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Optimisation of Geothermal Drilling Operation with Machine Learning

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Report on the impact of OPTIDRILL on the sustainability of geothermal power (si apre in una nuova finestra)

As part of Task 14.4 lead by TVS and support of all partners, this deliverable will report on the estimation of the cost and environmental load reduction opportunity of OptiDrill in geothermal applications using the DSS platform. The objective of the study is to encourage and to draw the attention of the policymakers, investors, geothermal operators to enhance the growth of the geothermal energy.

OPTIDRILL KPIs (si apre in una nuova finestra)

The deliverable will provide a report on review of the KPIs related to OPTIDRILL drilling advisory system including a threshold value for each of the KPIs to benchmark our success criterion of related activities within WP5,6,7,8,9,10,12,13.

Data lifecycle and curation strategies (si apre in una nuova finestra)

This deliverable is under Task 5.1 and will report on data lifecycle model development and strategies related to long-term curation strategies. The data lifecycle model and the curation strategies will provide a policy-based approach for establishing the Data Life-cycle Management (DLM), and support the definition of standards, formats, flows, storage, etc. and will enable find-ability, access, sharing, interoperability as well as, data use and reuse.

Report on risk assessment OPTIDRILL (si apre in una nuova finestra)

This deliverable led by GEO is under Task 14.1, and reports on the performed full risk analysis and assessment to ensure that the OPTIDRILL drilling advisory system meetsall current OHAS requirements, along with a risk profiling matrix, in order that the system can be readily adapted to whatever operational conditions prevail.

Report on the impact of OPTIDRILL on LCOE (si apre in una nuova finestra)

This deliverable is part of Task14.2 and will provide report on the LCOE analysis to demonstrate the economic impact of the OptiDrill concept. The report will include the collected technical data such as depth to drill to intersect target formation, temperature of the target formation, ROP, drilling time, tripping time, bit consumed, probable project development size etc. We will also collect financial data such as, local power price, tax rate, discount rate or inflation rate etc.

What-if scenario report (si apre in una nuova finestra)

Report on an extensive list of what-if scenarios under taks 1.3. This list will compile the extensive experience of the consortium in drilling different formations throughout the world which will be used in WP9.

Report on field testing of the OPTIDRILL system (si apre in una nuova finestra)

Under Task 13.1, the complete OptiDrill advisory system will be tested in a real-borehole which has been selected previously to test the system in field-scale test conditions.

Petrophysical interpretation report (si apre in una nuova finestra)

This deliverable led by BGS under Task 8.1 will report on the results of conventional interpretation of the selected wells petrophysical data to calculate and derive relavant parameters to prepare the ML modeling training datasets.

Report on dissemination event and publications (si apre in una nuova finestra)

Under Task 15.1, this deliverable will report on Dissemination activities and publications produced during the project.

Sensor and data acquisition system specification (si apre in una nuova finestra)

The deliverable will provide a report on sensor specification for lithology & jetting performance prediction and data acquisition system. This specification will be used in WP2 for OPTIDRILL measurement and monitoring system development and in WP3 for OPTIDRILL novel BHA sensor housing development.

Report on social acceptance and socioeconomic issues (si apre in una nuova finestra)

This deliverable will report on social acceptance and socioeconomic issues under Task 14.5. This task will be led by TVS with the participation of all project partners. This will be accomplished through the education of people about the technology and in parallel through analysis of the OptiDrill social impacts. A plan will be developed accordingly to address the social and socioeconomic issues to enable acceptance of the technology in the wider society.

Validation site selected (si apre in una nuova finestra)

This deliverables provides a report on a validation site for OPTIDRILL, led by RDE under task 1.4.

User requirements report (si apre in una nuova finestra)

Led by GEO under task 1.1. the report will include information on the requirements analysis including user’s expectation from the drilling advisory system and results of identification of the various health and safety requirements, regulation, standards, skills, and OPTIDRILL validation conditions.

Report on validation of the well enhancement performance prediction (si apre in una nuova finestra)

The deliverable under Task 13.2, will report on validation and performance evaluation of application the developed ML model (Task 10.6 )in a geothermal well selected by the project partner RDE. This will be achieved through a comparison of post- drilling and stimulation evaluations and petrophysical well loggings with the results obtained from ML models.

Report on the chosen sensor's types, sizes and specifications and their respective control specification (si apre in una nuova finestra)

The deliverable will provide a report on the selection of OPTIDRILL sensors, numebrs, and their specification which will be used (a) the novel downhole sensor strings (WP4) and (b) existing sensors used in the existing drill rigs and drilling simulators (WP12).

Report on OPTIDRILL drilling advisory system performance monitoring and evaluation (si apre in una nuova finestra)

Report on performance evaluation for validation of the developed ML models (WP7, WP8, WP9, and WP11) under Task 13.3, through conduction of drilling experiments in drilling simulators at IEG . will for the validation of the OPTIDRILL drilling advisory system. The results obtained from the ML models based on measured data in field tests as input data will be compared with test performance evaluation data.

Report on validation of the OPTIDRILL system predictions (si apre in una nuova finestra)

The deliverable is part of Task 13.4 and will report on the Statistical validation of the ML models in parallel to their development. The uncertainty of the ML model results will be quantified using flexible statistical models and will identify the shortcomings in case additional data are required for ML models improvement. The economic assessment of the OPTIDRILL system effectiveness in likely scenarios will also be examined.

Report on the impact of OPTIDRILL on environmental footprint on geothermal power (si apre in una nuova finestra)

As part of Task 14.3 led by TVS, this deliverable will report on the comparative LCA analysis of the test cases identified in Task 14.2 in order to validate the environmental benefit of OptiDrill. To comply with the guideline and ensure the credibility of theLCA study, we will make these studies also through critical reviewing process by an independent reviewer

Report of possible drilling, completion and well stimulation problematic scenarios (si apre in una nuova finestra)

Report on the reviewed and created problematic scenarios list under Task 6.2. the majorproblematic scenario topics will be identified through detailed study of the provided drilling operation reports by the project partners and extensive review and analysis of published literature sources. Task 6.3 will be done using the latter created database.

Report on assessment and quantification of drilling problem scenarios (si apre in una nuova finestra)

Report on further assessment and quantification of the compiled drilling problems scenarios data in the cloud-based database through further interpretation and enabling of usage practicality for ML modeling applications under Task 9.1 led by IEG and support of GEO, GEL, BGS, and BESTEC. The used data will be provided through the cloud-based database by partners or will be artificially simulated experimental data (WP6).

Report on laboratory optimized Sensor String and monitoring (si apre in una nuova finestra)

This deliverable will provide a report on testing the functionality of the developed novel nozzle sensor housing and monitoring system (WP2) in the RDE well enhancement laboratories. There will be optimization and modifications implementation to the system based on the obtained results.

Development and maintenance of OPTIDRILL webpage (si apre in una nuova finestra)

This deliverable is part of Task 15.1. The project website will be developed and regularly updated by TVS.

Data management Plan (si apre in una nuova finestra)

Under Task 5.2, TVS will develop OPTIDRILL Data Management Plan (DMP) to enable robust data protection and management procedures to protect data collected, resulted data within the project, prevent unauthorised sharing and analyze main elements of the data management policy (Task 2.3) for all the datasets that will be collected and generated by the OPTIDRILL project.

Pubblicazioni

Deep Geothermal Drilling Real-Time Performance Prediction and Optimization Using

Autori: Knauer, Henning; Jamali, Shahin; Wittig, Volker; Bracke, Rolf
Pubblicato in: Conference proceedings of European Geothermal Congress 2022 Conference, 2022
Editore: EGC

OptiDrill: Optimization of Geothermal Drilling Operation with Machine Learning

Autori: Shahin Jamali; Volker Wittig, Rolf Bracke
Pubblicato in: Conference proceedings of German Geothermal Congress DGK 2021 Conference, 2021
Editore: Bundesverband Geothermie e.V.

Deep Geothermal Drilling Performance Prediction and Optimization Using Artificial Intelligence Methods

Autori: Henning Knauer; Shahin Jamali, Volker Wittig, Rolf Bracke
Pubblicato in: Conference proceedings of German Geothermal Congress DGK 2021 Conference, 2021
Editore: Bundesverband Geothermie e.V.

Diritti di proprietà intellettuale

Sensing element for monitoring condition of an article

Numero candidatura/pubblicazione: 20 2003022
Data: 2020-03-03
Candidato/i: PRECISION VARIONIC INTERNATIONAL LIMITED

Sensing element for monitoring condition of an article

Numero candidatura/pubblicazione: 20 2003022
Data: 2020-03-03
Candidato/i: PRECISION VARIONIC INTERNATIONAL LIMITED

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