... the potential to improve human intelligence via Knowledge Augment Intelligence through qualitative-to-quantitative analytics. deep learning machine learning application artificial intelligence arxiv preprint arxiv llm large language model information text mining sme guideline similarity...

... of Bayesian models in handling uncertainty and quantifying risks associated with gas production estimation by utilizing early-stage data and petrophysical information to determine initial production performance, b-factor, decline parameters, and EUR. The findings of this study provide valuable insights...

... & gas subsurface storage climate change diameter consideration scenario optimization problem co 2 evolution modeling cc infrastructure united states government artificial intelligence simccs 3 pipeline diameter information thickness denote upstream oil & gas north america...

... that all data can be queried and provide necessary information in the decision pipeline. The entity "well" is composed by an informative header, completion and stimulation data, wellbore data, production and production statistics data, well fluid data, estimated subsurface data @ well and user-defined data...

... upstream oil & gas powder river basin perforation cluster petroleum engineer unconventional resource economics information well spacing fracture operator Abstract While every tight oil play is unique, there are lessons that can be transferred from one play to another to improve...

... that before fracturing, interval selection with GR log can be enhanced if supplemented with the trend analysis of the d-exponent data. Directional Drilling fractured stage well logging multistage fracturing rotational speed cross flow log analysis drilling operation information horizontal well...

... production, which will provide valuable information to assist in optimization of shale reservoir development. Unfortunately, the mechanism of shale gas production has not been fully revealed so far, and most reservoir simulation models are adopting the mechanism of coalbed methane production to forecast...

... and the b-factor over time as parameters to be estimated in a Bayesian framework. We include prior information on the parameters in the model. This serves to regularize the solution and prevent noise in the data from being amplified. We then fit the parameters to the model using Markov chain Monte Carlo...

.... With respect to well cleanup post-frac LPG held the promise of greater cleanup and improved effective fracture half-lengths. This paper will provide details about the LPG fracs and the resulting production response using a mix of readily available public domain information and information obtained by service...

... to identify hidden patterns and help mitigate drilling challenges. Traditional data preparation and analysis methods are not sufficiently capable of rapid information extraction and clear visualization of big complicated data sets. Due to the petroleum industry's unfulfilled demand, Machine Learning (ML...

... of petroleum engineers frac stage normalized eur eur 1 center township operator hydraulic fracturing average stage length Production analysis pennsylvania lateral length information township production day normalized production Introduction Although there were other Marcellus Shale wells...

..., is an essential task for E&P companies. Based on the estimated ultimate recovery information, a reservoir engineer could determine the economic investment of whether a single well or series of wells would be worthy. Thus, it must be done fast and right. For the past years, the typical methodology...

... lengths. Finally, a field case study is used to demonstrate how to apply the proposed fracture generation and simulation workflow to model hydraulically fractured horizontal wells. The proposed workflow implemented stochastic algorithms with the capabilities to incorporate as much information as possible...

..., 24 hours well summary, etc. All the information from these objects are not extracted and effectively utilized in well planning exercise. This paper focuses on a collaborative approach of using text mining and knowledge management practices to mine unfavorable events and best practices from daily...

... Taking the above considerations into account, the dashboards in this paper have been designed to summarize four essential groups of information. These are: Summary of production data Historical flow rates Cumulative production data EOR performance trends Incremental oil...

... giant" gas field. ( King, 2015 ). EPA completion air emission information Upstream Oil & Gas Washington july 2015 emission limit engine US government air quality compliance natural gas Emission Inventory operation operator Ohio requirement Pennsylvania emission dep...

... was installed downhole to protect the fiber-optic or control line during installation and perforating. Surface test logging of the in-situ hardware ensures detection and orientation of the hardware installed in the well. Information derived from the surface test runs is used to detect, identify, and orient...

... design can be improved if one uses all the log data available for the well (such as DRES, GR, and NPHI) as well as the additional information defining the behavior of the logs. Using Artificial Intelligence (AI) techniques such as fuzzy clustering analysis methods, the well log data is effective...

... Michigan study area bond index cement quality cement bond index correlation cement bond log Ohio CBL category wellbore integrity average cement bond index Thickness information footage poor cement quality Introduction Wellbore integrity and abandoned wells are considered key risk...

... Abstract In this paper we present a proposed semi-quantitative approach for assessing the integrity of active and retired oil and gas wells in example study areas for siting geologic carbon storage repositories. The approach makes use of readily available wellbore information and is illustrated...