PERPUSTAKAAN BIG

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Reservoir evaluation using petrophysics informed machine learning: A case study
Hua WangRongbo ShaoLizhi Xiao

We propose a novel machine learning approach to improve the formation evaluation from logs by integrating petrophysical information with neural networks using a loss function. The petrophysical inf…

Edisi
Vol.5, December 2024
ISBN/ISSN
2666-5441
Deskripsi Fisik
18 hlm PDF, 19.964 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
Rapid identification of high-quality marine shale gas reservoirs based on the…
Linqi ZhuXueqing ZhouChaomo Zhang

The identification of high-quality marine shale gas reservoirs has always been a key task in the exploration and development stage. However, due to the serious nonlinear relationship between the lo…

Edisi
Vol.2, December 2021
ISBN/ISSN
2666-5441
Deskripsi Fisik
6 hlm PDF, 1.091 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
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Tampilkan DetailSitasi
cover
Hydrocarbon detections using multi-attributes based quantum neural networks i…
juan XueXingjian WangJunxing CaoXiaoFang Liao

A direct hydrocarbon detection is performed by using multi-attributes based quantum neural networks with gas fields. The proposed multi-attributes based quantum neural networks for hydrocarbon dete…

Edisi
Vol.2, December 2021
ISBN/ISSN
2666-5441
Deskripsi Fisik
8 hlm PDF, 3.472 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
Tambahkan ke dalam keranjang
Tampilkan DetailSitasi
cover
Application of neural network to speed-up equilibrium calculations in composi…
Wagner Q. BarrosAdolfo P. Pires

Injecting carbon dioxide (CO2) into reservoirs is a widely recognized method for enhanced oil recovery (EOR) and carbon storage. This study introduces an innovative Artificial neural network (ANN)-…

Edisi
Vol.2, December 2021
ISBN/ISSN
2666-5441
Deskripsi Fisik
13 hlm PDF, 1.456 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
Ketersediaan1
Tambahkan ke dalam keranjang
Tampilkan DetailSitasi
cover
Reconstruction of reservoir rock using attention-based convolutional recurren…
Indrajeet KumarAnugrah Singh

The digital reconstruction of reservoir rock or porous media is important as it enables us to visualize and explore their real internal structures. The reservoir rocks (such as sandstone and carbon…

Edisi
Vol.24, December 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
18 hlm PDF, 14.609 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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cover
Improved reservoir characterization of thin beds by advanced deep learning ap…
Umar ManzoorMuhsan EhsanMuyyassar HussainYasir Bashir

Targeting reservoirs below seismic resolution presents a major challenge in reservoir characterization. High-resolution seismic data is critical for imaging the thin gas-bearing Khadro sand facies …

Edisi
Vol.23, September 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
12 hlm PDF, 15.238 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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Fracture density reconstruction using direct sampling multiple-point statisti…
Philippe RenardJulien StraubhaarAna Paula Burgoa

The aim of this work is to present a methodology for the reconstruction of missing fracture density within highly fractured intervals, which can represent preferential fluid flow pathways. The lack…

Edisi
Vol.22, June 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
13 hlm PDF, 5.089 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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cover
AnnRG - An artificial neural network solute geothermometer
Lars H. YstroemMark VollmerThomas KohlFabian Nitschke

Solute artificial neural network geothermometers offer the possibility to overcome the complexity given by the solute-mineral composition. Herein, we present a new concept, trained from high-qualit…

Edisi
Vol.20, December 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
10 hlm PDF, 4.961 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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cover
Super-resolution in thin section of lacustrine shale reservoirs and its appli…
Chao GuoChao GaoChao LiuGang LiuJianbo SunYiyi ChenChendong Gao

Lacustrine shale reservoirs present intricate attributes such as the prevalence of lamination, rapid sedimentary phase transitions, and pronounced heterogeneity. These factors introduce substantial…

Edisi
Vol.19, September 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
14 hlm PDF, 27.763 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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cover
Enhancing reservoir porosity prediction from acoustic impedance and lithofaci…
Munezero NtibahananaMoïse LuembaKeto Tondozi

Inferring underground porosity and evaluating its spatial distribution is of great significance in a wide range of Earth sciences and engineering, including hydrocarbon reservoir characterization a…

Edisi
Vol.16, December 2022
ISBN/ISSN
2590-1974
Deskripsi Fisik
10 hlm PDF, 7.361 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
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cover
Contributions of machine learning to quantitative and real-time mud gas data …
Fatai AnifowoseMokhles MezghaniSaleh BadawoodJaved Ismail

The current utility of mud gas data is typically limited to geological and petrophysical correlation, formation evaluation, and fluid typing. A critical and comprehensive review of the literature o…

Edisi
Vol.16, December 2022
ISBN/ISSN
2590-1974
Deskripsi Fisik
9 hlm PDF, 1.691 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Tampilkan DetailSitasi
cover
A plugin for computing the pore/grain network tortuosity of a porous medium f…
Waldir L. RoqueRichelieu R.A. Costa

Tortuosity is an important geometrical parameter of the pore or grain network in a porous medium. Here we present and discuss an implementation of a plugin to estimate the pore/grain network tortuo…

Edisi
Vol.5, March 2020
ISBN/ISSN
2590-1974
Deskripsi Fisik
14 hlm PDF, 6.599 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Tampilkan DetailSitasi
cover
A competitive ensemble model for permeability prediction in heterogeneous oil…
Ahmed A. AdeniranAbdulrauf R. AdebayoHamza O. SalamiMohammed O. YahayaAbdulazeez Abdulraheem

One important property of oil and gas reservoirs is permeability, which has proven to be difficult to predict. Empirical and regression models are the current industrial practice for predicting per…

Edisi
Vol.1, October 2019
ISBN/ISSN
2590-1974
Deskripsi Fisik
13 hlm PDF, 3.657 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Tampilkan DetailSitasi

Hasil Pencarian

Ditemukan 13 dari pencarian Anda melalui kata kunci: Subjek : "Reservoir"
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Saran
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Proceedings of seminar on science aaand development and rational management of natural resource, Januari 10-11 1975
Stephen Gante
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Human right a compilation of international instruments
Suharto Widjoyo - United Nation
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Cartoraphy past, present and future
David Rhind
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Pembinaan basis data daerah: Kabupaten Nunukan Provinsi Kalimantan Timur dan Kabupaten Lampung Barat, Provinsi Lampung
Indonesia.Bakosurtanal - Otasowie Evbayowieru Osaikhuiwu
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Indonesian island arcs: magmatism, mineralization and tectonic setting
Kusumadinata
PERPUSTAKAAN BIG
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Perpustakaan Badan Informasi Geospasial (BIG) adalah sebuah perpustakaan yang berada di bawah Badan Informasi Geospasial Indonesia. Perpustakaan ini memiliki koleksi yang berkaitan dengan informasi geospasial, termasuk peta, data geospasial, dan literatur terkait. Selengkapnya

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