TY - THES

T1 - Drilling Performance Analysis by Means of Real-Time Data and Offset Study for an Actual Well Onshore Croatia

AU - Kesner, Juraj

N1 - no embargo

PY - 2019

Y1 - 2019

N2 - The basis of any successful improvement campaign is accurate, reliable data, ideally in real-time where meaningful. Nowadays many drilling companies pay a lot of attention to real-time data which can be very time consuming if it is not managed properly . Not having up-to-date intelligence can lead to safety issues, poor decisions, maintenance issues and excessive cost. This thesis uses real data from an actual onshore well in Croatia which are compared to two previously drilled offset wells in order to analyse drilling operations and to reveal areas of improvement, presenting the importance and benefits of a data management strategy and utilisation, with a special focus on amalgamation of structured, unstructured and real-time data amalgamation.

AB - The basis of any successful improvement campaign is accurate, reliable data, ideally in real-time where meaningful. Nowadays many drilling companies pay a lot of attention to real-time data which can be very time consuming if it is not managed properly . Not having up-to-date intelligence can lead to safety issues, poor decisions, maintenance issues and excessive cost. This thesis uses real data from an actual onshore well in Croatia which are compared to two previously drilled offset wells in order to analyse drilling operations and to reveal areas of improvement, presenting the importance and benefits of a data management strategy and utilisation, with a special focus on amalgamation of structured, unstructured and real-time data amalgamation.

KW - Bohren

KW - Leistung

KW - ILT

KW - NPT

KW - Echtzeitdaten

KW - Optimierung

KW - Analyse

KW - Sensoren

KW - Verbesserung

KW - Drilling

KW - Performance

KW - ILT

KW - NPT

KW - Real-Time Data

KW - Optimisation

KW - Analysis

KW - Sensors

KW - Improvement

M3 - Master's Thesis

ER -