Thesis (M.S.)--University of Wisconsin--Madison. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 114-115).

Thesis--Wisconsin. / Vita. Includes bibliographical references (leaves 278-285).

Thesis (Ph. D.)--University of Wisconsin--Madison, 1980. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 172-175).

Thesis (M.S.)--University of Wisconsin--Madison. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaf 86).

published_or_final_version / Civil Engineering / Doctoral / Doctor of Philosophy

published_or_final_version / Civil Engineering / Master / Master of Philosophy

No description available.

Drilling operations management will face hurdles to reduce costs and increase performance, and to do this with less experience and organizational drilling capacity. A technology called Drilling Simulators Software has shown an extraordinary potential to improve the drilling performance and reduce risk and cost. Different approaches have been made to develop drilling-simulator software. The Virtual Experience Simulator, geological drilling logs, and reconstructed lithology are some of the most successful. The drilling simulations can run multiple scenarios quickly and then update plans with new data to improve the results. Its storage capacity for retaining field drilling experience and knowledge add value to the program. This research shows the results of using drilling simulator software called Drilling Optimization Simulator (DROPS®) in the evaluation of the Aloctono block, in the Pirital field, eastern Venezuela. This formation is characterized by very complex geology, containing faulted restructures, large dips, and hard and abrasive rocks. The drilling performance in this section has a strong impact in the profitability of the field. A number of simulations using geological drilling logs and the concept of the learning curve defined the optimum drilling parameters for the block. The result shows that DROPS® has the capability to simulate the drilling performance of the area with reasonable accuracy. Thus, it is possible to predict the drilling performance using different bits and the learning-curve concept to obtain optimum drilling parameters. All of these allow a comprehensive and effective cost and drilling optimization.

No description available.

Drilling operations management will face hurdles to reduce costs and increase performance, and to do this with less experience and organizational drilling capacity. A technology called Drilling Simulators Software has shown an extraordinary potential to improve the drilling performance and reduce risk and cost. Different approaches have been made to develop drilling-simulator software. The Virtual Experience Simulator, geological drilling logs, and reconstructed lithology are some of the most successful. The drilling simulations can run multiple scenarios quickly and then update plans with new data to improve the results. Its storage capacity for retaining field drilling experience and knowledge add value to the program. This research shows the results of using drilling simulator software called Drilling Optimization Simulator (DROPS®) in the evaluation of the Aloctono block, in the Pirital field, eastern Venezuela. This formation is characterized by very complex geology, containing faulted restructures, large dips, and hard and abrasive rocks. The drilling performance in this section has a strong impact in the profitability of the field. A number of simulations using geological drilling logs and the concept of the learning curve defined the optimum drilling parameters for the block. The result shows that DROPS® has the capability to simulate the drilling performance of the area with reasonable accuracy. Thus, it is possible to predict the drilling performance using different bits and the learning-curve concept to obtain optimum drilling parameters. All of these allow a comprehensive and effective cost and drilling optimization.