MIUS News: Maps and Imagery User Services @ FIU Green Library: Vol. 4, Issue 1 Fall 2012

Florida International University\u27s Fall 2012 Map and User Imagery Services Newsletter.https://digitalcommons.fiu.edu/mius_news/1006/thumbnail.jp

Dream Girl : Waltzes

https://digitalcommons.library.umaine.edu/mmb-ps/2063/thumbnail.jp

Debutante : Waltzes

https://digitalcommons.library.umaine.edu/mmb-ps/2057/thumbnail.jp

Comparative Analysis and Enhancement of Simplified Drilling Process Simulation Models and Exploring Machine Learning for Real-Time Optimization

Real-time optimization of drilling processes is vital for the efficient and safe operation of the oil and gas industry. For this, fast and robust models are required to enable automation safety strategies. Many existing models are computationally intensive while requiring executions speeds decades faster than real-time for certain automation tasks. This thesis aims to understand what makes models computationally intensive, compare solutions and propose alternatives, as well as look at accuracy where simplifications are made. The research framework involves two models developed in MATLAB, by Alf Kristian Gjerstad and Kjell Kåre Fjelde, as a starting point. The primary tasks include analyzing the differences between the models mainly aimed at calculation of frictional pressure loss, evaluating the reasons for these differences, modifying the models to suit the needs of this thesis, and adding options for the calculations in the main model, by Alf Kristian Gjerstad. This thesis presents a thorough investigation of the discrepancies between the two models, along with implementations and modifications to the main model. A Machine Learning-based approach is proposed as an alternative to the more computationally intensive versions using Herschel-Bulkley and Bingham Plastic, to maintain real-time applicability while hopefully maintaining accuracy. The results demonstrate the potential of the proposed alternative.Real-time optimization of drilling processes is vital for the efficient and safe operation of the oil and gas industry. For this, fast and robust models are required to enable automation safety strategies. Many existing models are computationally intensive while requiring executions speeds decades faster than real-time for certain automation tasks. This thesis aims to understand what makes models computationally intensive, compare solutions and propose alternatives, as well as look at accuracy where simplifications are made. The research framework involves two models developed in MATLAB, by Alf Kristian Gjerstad and Kjell Kåre Fjelde, as a starting point. The primary tasks include analyzing the differences between the models mainly aimed at calculation of frictional pressure loss, evaluating the reasons for these differences, modifying the models to suit the needs of this thesis, and adding options for the calculations in the main model, by Alf Kristian Gjerstad. This thesis presents a thorough investigation of the discrepancies between the two models, along with implementations and modifications to the main model. A Machine Learning-based approach is proposed as an alternative to the more computationally intensive versions using Herschel-Bulkley and Bingham Plastic, to maintain real-time applicability while hopefully maintaining accuracy. The results demonstrate the potential of the proposed alternative

Origin and development of true karst valleys in response to late Holocene sea‐level change, the Transverse Glades of southeast Florida, USA

The Miami Limestone is an oolite depositional body that is used as an analog model for geological interpretation of the rock record. Barrier‐bar complex, oolite banks, extensive bryozoan flats and tidal creeks, referred to as transverse glades, have been described. High‐resolution LiDAR data are used to produce unprecedented, detailed topographic maps of the transverse glades in the southern Atlantic Coastal Ridge. These maps were originally used to calculate historic discharge from the Everglades but revealed features inconsistent with the prevailing theory that the topography is of a depositional origin. Field observations verified an epikarst terrain truncated by collapsed subsurface conduits creating valleys, previously described as palaeotidal creeks. Observations of the 12 southern tidal creeks or transverse glades provided a sequence of six stages in the development of these karst valleys. After Late Pleistocene deposition of the Miami Limestone, sea‐level dropped producing conditions of: (a) epikarst which reduced the surface elevation preferentially, forming the southern Everglades Basin and modifying Biscayne Bay and Florida Bay precursor basins and (b) downward water movement producing vertical solution features. As Holocene sea‐level approached the South Florida carbonate platform margin a freshwater lens formed and groundwater movement became horizontal. Two sets of cavernous zones developed during the Middle and Late Holocene. Solution pipes and dolines provide a connection between the surface and groundwater along alignments which delineate subsurface conduits. Stages of valley formation are associated with the collapse of these conduits first forming a series of pocket valleys followed by narrow blind valleys and half blind or through valleys linking the Everglades to the coastal plain. Valleys then expanded in width until: (a) completion of cavernous zone collapse, (b) most boulder fields and valley margins reduced by weathering and (c) the valleys filled with wetland soils