... Abstract This paper presents an update on a dynamic segmentation algorithm for detecting quartz overgrowths in geothermal reservoirs using Scanning Electron Microscope (SEM) images. Previously, the Random Forest algorithm had been employed in the automated workflow for quartz overgrowth...

... analysis single well reservoir model cost function boundary distance pressure data workflow pta result horizontal permeability well test operation permeability reservoir parameter reservoir modeling inversion history match inversion workflow vertical permeability inversion approach...

... the industry is a lack of effective and cost-efficient methods to diagnose the efficacy of these fracturing treatments prior to executing their next pad, leading to perpetual cycle of knowledge lagging a full drilling program behind capital spending. In this paper a new integrated workflow for hydraulic...

...-lift timing and selection (ALTS) methodology based on a hybrid data-driven and physics-based workflow to maximize the value of unconventional oil and gas assets. Our formulation employs a reduced physics model that is based on identification of Dynamic Drainage Volume (DDV) using commonly measured...

... predictions. upstream oil & gas history matching assimilation geologist deep learning north america government climate change workflow journal algorithm united states government subsurface storage machine learning reservoir simulation artificial intelligence co 2 geologic co 2...

... Abstract A workflow for data analysis and model development for accurate prediction of the gas production from a Marcellus shale horizontal well with multiple hydraulic fracture stages was developed and implemented. The available data from a Marcellus shale horizontal well were collected...

... workflow api gravity hc composition oil sand geological subdiscipline composition ugnu gravity north slope thompson biogeochemistry cuttings borehole lateral milne point hunt Introduction The heavy oil deposits in the Ugnu sands on the North Slope of Alaska have been a source...

... connection map workflow line represent reservoir adjoint-based method algorithm inter-well connection history matching outer cell reservoir management reynolds transmissibility rgnet model delaunay triangulation es-mda computational cost physics well node Introduction Fast models...

... can be used to provide accurate multiphase production rate forecasting (virtual metering) by reversing the model inputs and outputs. Based on the hybrid model, a workflow for tracking reservoir properties was developed to capture the decline of average reservoir pressure and productivity index, which...

... the 0.01 threshold. This workflow directly affects production allocation because it adjusts the blend of the heavy oil. Besides having an accurate volumetric distribution, the operational team can realize how much naphtha volume has been volatilized and how much has been sent into the taxable oil...

... among the triple media. In contrast with existing EDFM formulations, we account for discrete fracture spacing within each matrix cell via a new matrix-fracture transfer term and employ consistent assumptions for classical EDFM and DPDK calculations. In addition, the workflow enables coarse EDFM...

....) according to encountered downhole conditions while maintaining downhole practices as is. However, the workflow proposed in this paper is based on Scheme I , where downhole practices is adjusted based upon downhole conditions during cyclic operations. As such, the focus of the study is on highlighting...

... and horizontally. Anisotropic elastic properties and stresses lead to more complications for predicting the fracture. This study introduces a comprehensive workflow for fracturing design optimization by applying supervised machine learning. The research also aims to develop an algorithm that can help any shale...

... the latest technologies and workflows developed for heavy oil reservoir management, so that, it can be used as a single source of reference for the industry. The latest technologies for heavy oil reservoir management, their underlying principles, along with the advantages and limitations for each...

... operators to evaluate the economics and risk profiles of the new opportunities. A data-driven workflow can facilitate this process and make it less biased by enabling the agnostic analysis of the data as the first step. In this work, several machine learning algorithms are briefly explained and compared...

... steady advances in hardware, challenges associated with the analysis of distributed optical data are being addressed to enable delivery of value-driven answer solutions and services. Such solutions are often nontrivial and must be driven by scientific workflows in which data-driven models, advanced...

... model. In doing so, we have used unsupervised clustering techniques to find an optimal number of clusters that enable observing well behaved and identifiable underlying distribution functions. Furthermore, we quantified different types of distribution functions in a trial and error workflow to provide...

... to the history matching and production optimization problem of a mature diatomite reservoir with a long history of primary depletion and subsequent waterflood. We present a hierarchical workflow to calibrate the GPSNet model to the noisy real-field data. This manuscript is organized as follows. First, we revisit...

... applications of data mining (DM) and AI workflows in the last 25 years. Converting unstructured (non-tabulated) data into structured data is gaining momentum in the industry. DM, concisely, is finding relevant patterns of data in a huge expanse of information. Commonly used tools are statistical modelling...

... to be optimized simultaneously. Conventional optimization methods that aggregate multiples objectives into a single weighted objective are not appropriate. In this work, a novel workflow is developed to identify a set of Pareto-optimal operational parameters for the SAS process. First, a synthetic base model...