Lithofacies classification using Bayes theorem method : Case study Western Desert, Egypt

نویسندگان

چکیده

This paper shows the availability of using Bayesian classification method to predict class membership probabilities in one deep tight reservoirs Western Desert, Egypt. The workflow our project that used deterministic petrophysical results three training wells train data and extract classifiers. classified were modeled Gaussian distribution for each lithofacies. acquired from a Jurassic gas reservoir Desert fitting between actual has been reached by minimizing L2 norm. Besides, cross-validation process was validating resulted Finally, can GWC with an accuracy 4 m. To avoid probability interference caused compacted shale more should be added initial model.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Classification of Web Documents Using a Naive Bayes Method

This paper presents an automatic document classification system, WebDoc, which classifies Web documents according to the Library of Congress classification scheme. WebDoc constructs a knowledge base from the training data and then classifies the documents based on information in the knowledge base. One of the classification algorithms used in WebDoc is based on Bayes’ theorem from probability t...

متن کامل

landslide susceptibility zonation with bayes’ theorem (weight of evidence) (case study: siyahrood catchment)

introduction: landslides are amongst the most damaging geologic hazards in the world. they pose a threat to the safety of humankind lives as well as the environment, resources and property. compared with other natural hazards such as volcanic eruptions and floods, landslides cause considerable damage to human beings and massive economic losses (guzzetti, 2005). according to preliminary estimates...

متن کامل

Using Probabilistic Unsupervised Neural Method for Lithofacies Identification

This paper presents a probabilistic unsupervised neural method in order to construct the lithofacies of the wells HM2 and HM3 situated in the south of Algeria (Sahara). Our objective is to facilitate the experts' work in geological domain and to allow them to obtain the structure and the nature of lands around the drilling quickly. For this, we propose the use of the Self-Organized Map (SOM) of...

متن کامل

Automated Essay Scoring Using Bayes' Theorem

Two Bayesian models for text classification from the information science field were extended and applied to student produced essays. Both models were calibrated using 462 essays with two score points. The calibrated systems were applied to 80 new, pre-scored essays with 40 essays in each score group. Manipulated variables included the two models; the use of words, phrases and arguments; two app...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Multidiszciplináris tudományok

سال: 2021

ISSN: ['2062-9737']

DOI: https://doi.org/10.35925/j.multi.2021.1.8