... for mineral identification and characterization to fill the gap. This study covers a total of 4 classes (quartz, feldspar, calcite, and matrix) of 993 representative images in a clastic sedimentary rock, Mancos shale. The proposed architecture for automated classification is divided into the following stages...

... states government accuracy artificial intelligence china information real-time warning method classification hydraulic fracturing technology conference unconventional resource technology conference southwest china multistage horizontal well fracturing directional drilling shale gas presented...

... petroleum geology structural geology sedimentary basin geologist rock type production monitoring production control geological subdiscipline isotopic composition geochemical characterization carbon isotopic composition correlation classification western canada sedimentary basin alberta...

... characterization inversion shear slowness sonic derived anisotropic mechanical property geological subdiscipline algorithm classification URTeC: 3870990 Core Data Integration/ Validation of Sonic Derived Anisotropic Mechanical Properties to Expedite Well Decisions in Unconventional Reservoirs Edgar Velez1...

.... The URT_Index agreed with the rock type classification based on the geometric association by more than 95%, demonstrating that the index satisfactorily reproduced variations in rock properties. The URT_Index can play an important role in the comprehensive ranking of the prospects by identifying both...

... processing approach to produce high quality fault attribute volumes of fault probability, fault dip magnitude and fault dip azimuth. These volumes are then combined with instantaneous attributes in an unsupervised machine learning classification, allowing the isolation of both structural and stratigraphic...

... of fractures and cavities may lead to an increase in permeability, which may impact the production. Therefore, the dissolution of source rocks by fracturing fluid should be considered as a factor in completion design. upstream oil & gas mechanism imbibition classification brine imbibition...

... of high shale anisotropy and heterogeneity. C-Means Clustering will group measured data to other like sets of data along the wellbore to create a predefined number of classifications, or clusters. C-Means is a fuzzy clustering method, meaning a datapoint s membership to each class assignment will vary...

... artificial intelligence classification neural network accuracy deep learning core image optimized model wavy bedding sedimentary structure identification model machine learning upstream oil & gas information original model parallel bedding transfer learning misidentified image...

... and geomechanics reservoir problems. A few examples are highlighted to demonstrate the toolkit and applicable geologic problems. Classification: General Use URTeC 5024 Introduction Understanding the geomechanical response of reservoir discontinuities is important for predicting permeability enhancement...

... to the changes in elastic properties. A good relationship was established between TOC, vclay and porosity to elastic logs using both conventional and unconventional RPMs. A class-IV AVO response was observed in the Avalon formation. Finally, our analysis showed that a depth trend based 1D Bayesian classification...

... or international oil companies, it s difficult to conduct automatic and unified anomaly detection based on the database by rule-based methods. Text classification based on machine learning and natural language processing techniques provides new solutions to automatic anomaly detection in daily reports. According...

... classification and prediction. Some examples from Teapot Dome and Niobrara Shale are included to support the use of well-known QA techniques to improve supervised deep learning performance using 3-D seismic data. The core of the present approach is to include QA as part of the exploratory data analysis (EDA...

... without the written consent of URTeC is prohibited. Abstract A workflow is presented which places far greater emphasis on formation lithology than is usually employed during pore pressure and geomechanical studies. Advanced classification techniques are linked with conventional pore pressure prediction...

... or remote wells. Methodology In this study, we utilized state-of-art deep learning to develop our production prediction model. The deep learning is inspired by biological neural networks, which are widely used in tasks such as image classification, self-driving car and natural language processing. The basic...

... learning is a key part of AI and requires an ability to identify patterns in streams of inputs. Learning with adequate supervision involves classification, which determines the category an object belongs to. Today it is being extensively used in image and speech recognition. At present the application...

...URTeC: 253 Development and Application of a Real-Time Drilling State Classification Algorithm with Machine Learning Yuxing Ben*, Chris James, Dingzhou Cao; Anadarko Petroleum Corporation. Copyright 2019, Unconventional Resources Technology Conference (URTeC) DOI 10.15530/urtec-2019-253 This paper...

... to multiple attribute volumes simultaneously. The SOM produces a non-linear classification of the data in a designated time or depth window. For this study, a 60-ms interval that encompasses the Niobrara and Codell formations was evaluated using several SOM topologies. One of the main drilling targets, the B...

... Intelligence translation machine learning classification neural network Upstream Oil & Gas accuracy image classification SEM image image segmentation Eagle Ford Woodford pixel unconventional reservoir microstructural analysis dataset model 5 alexnet probability Microstructure URTeC...

... Upstream Oil & Gas machine learning Proc training dataset classification traditional feature regression prediction Artificial Intelligence spe annual technical conference algorithm node pore circularity Exhibition mechanical property artificial neural network microstructure...