Multiple-point statistics algorithms allow modeling spatial variability from training images. Among these techniques, the Direct Sampling (DS) algorithm has advanced capabilities, such as multivariate simulations, treatment of non-stationarity, multi-resolution capabilities, conditioning by inequality or connectivity data. However, finding the right trade-off between computing time and simulati…
Domains define the boundaries of mineralisation zones, within which the grade distribution of the target minerals can be quantified via an established mineral resource estimation procedure. Available domain modelling techniques include manual interpretation, implicit modelling and advanced geostatistical approaches. In mining applications, the most commonly used method is manual domaining, whic…
A deeper understanding of the drivers of evapotranspiration and the modelling of its constituent parts (evaporation and transpiration) may be of significant importance to the monitoring and management of water resources globally over the coming decades. In this work a framework was developed to identify the best performing machine learning algorithm from a candidate set, select optimal predicti…
Understanding the variations in physical and mechanical behavior of rock materials due to progressive weathering is vital to carry on time and cost-effective engineering projects. Up to date, soft computing algorithms have been established to quantify the weathering degree (WD) of various rocks due to better prediction performance and problem-solving capability. However, the complexity of the w…
Systematic manual and algorithmic classification workflows to characterize rock types are increasingly applied in the mineral exploration and mining industry, leveraging large systematically collected datasets. The aim of these are robust and repeatable classifications to aid more traditional visual logging practices. This study uses random forest algorithms to examine the impacts of integratin…
Conductive fractures in petroleum reservoirs may be totally isolated or fully interconnected. There is an intermediate state between the two extremities. Partially fractured reservoirs include finite fracture networks (FFN), which are bundles of interconnected fractures embedded in a sea of isolated fractures. Devising measures for sizes of FFNs is crucial in estimating critical engineering asp…
Well logging is essential in studies which require an understanding of the subsurface geology and depositional conditions. Unfortunately, the measurements are rarely complete and missing data intervals are common due to operational issues or malfunction of the logging equipment. Therefore the imputation of missing data from down-hole well logs is a common problem in subsurface workflows. Recent…
Buku dengan judul 5 Tahun Mengawal Geospasial dengan standar ini merupakan catatan tentang kegiatan atas capaian selama menjadi bagian dari tugas di Pusat Standadisasi dan dan Kelembagaan Informasi Geospasial mulai tanggal 25 Februari 2015 sampai dengan 25 Februari 2020. Buku mendokumentasikan mulaidari proses perencanaan dan melaksankan program dan kegiatan sesuai dengan output dan outcome y…
Sumberdaya Manusia (SDM) merupakan aset yang paling penting dalam sebuah institusi. Oleh karena itu, SDM perlu dikelola dengan baik untuk meningkatkan efektifitas dan efisiensi organisasi. Road Map pengembangan SDM bidang Informasi Geospasial (IG) 2019-2024 ini dibuat untuk memberikan rekomendasi peta jalan (road map) pengembangan SDM bidang IG Nasional. Pendekatan yang diambil untuk menyususn …
Roadmap pengembangan industri informasi geospasial ini disusun untuk memebrikan rekomendasi arah dan srtategi yang sistematis untuk mengembangkan informasi geospasial di Indonesia, serta tantangan dan permasalahan dalam pengembangan industri informasi geospasial nasional. Buku ini merupakan versi 1 dari kajian pengembangan industri informasi geospasial, mengingat kebijakan terkait informasi ge…