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Western Michigan University

Masters Theses

2018

Structure

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

A Structural And Stratigraphic Study Of The A-2 Carbonate In Southwest Michigan And Reservoir Characterization Of An A-2 Carbonate Gas Storage Field, Clayton Joupperi Dec 2018

A Structural And Stratigraphic Study Of The A-2 Carbonate In Southwest Michigan And Reservoir Characterization Of An A-2 Carbonate Gas Storage Field, Clayton Joupperi

Masters Theses

The Overisel and Salem gas storage fields of southwest Michigan annually store 34 Bcf of natural working gas in the upper dolomitized portion of the Silurian A-2 Carbonate. Porosity and permeability in these fields is thought to be enhanced by fracturing and dolomitization associated with the dissolution and collapse of underlying salt units. This study utilizes wire-line logs from 383 wells to explore the structural and stratigraphic controls on the deposition and diagenesis of the A-2 Carbonate in southwest Michigan. Core and thin sections from 4 wells serve as the primary data for investigating the depositional and diagenetic history of …


Exploring The Impact Of Pretrained Bidirectional Language Models On Protein Secondary Structure Prediction, Dillon G. Daudert Dec 2018

Exploring The Impact Of Pretrained Bidirectional Language Models On Protein Secondary Structure Prediction, Dillon G. Daudert

Masters Theses

Protein secondary structure prediction (PSSP) involves determining the local conformations of the peptide backbone in a folded protein, and is often the first step in resolving a protein's global folded structure. Accurate structure prediction has important implications for understanding protein function and de novo protein design, with progress in recent years being driven by the application of deep learning methods such as convolutional and recurrent neural networks. Language models pretrained on large text corpora have been shown to learn useful representations for feature extraction and transfer learning across problem domains in natural language processing, most notably in instances where the …