Publications & Awards

  • Top 5 Winner, SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest - Sonic Log Synthesis (Link)

  • Facies Prediction from Triple Combo Log

    • Presented in AAPG Asia Pacific Technical Symposium, Bogor, August 7-8, 2019

    • Kusumah, E. P., Lestari, W. A., Susanty, M., (2019). Wireline Log Data Conditioning to Improve Machine Learning Based Facies Identification Across the Well. AAPG Asia Pacific Technical Symposium, Bogor, August 7-8, 2019 (Link)

    • Pramata, H., Mubarak, H., Abdullah, A., Kusumah, E. P., Astuty, W., Suhardja, S.. (2020) Early Results for Comparison between K-Nearest Neighbor (KNN) and Artificial Neural Network Optimized for Lithology Estimation. AAPG Asia Pacific Technical Symposium, Bogor, August 7-8, 2019

    • Study won an internal research grant ($10k) in Universitas Pertamina and implemented in Pertamina Hulu Sanga-Sanga Regional Facies modelling using +1800 well

  • Delta evolution using Timelapse Landsat Image

    • Presented in JCY 2019

    • Kusumah, E. P., Pinkan, G., (2019). Delta Evolution using 30 years of Timelapse Landsat Imagery. HAGI-IAGI-IAFMI-IATMI Join Convention Yogyakarta 2019, 25-28 November 2019 (Link)

  • Lithology identification using Hyperspectral Satellite image

    • Presented in JCM 2017

    • Kusumah, E. P. (2017) Lithology Prediction Using Hyperspectral Satellite Image in Padalarang Area, Indonesia. HAGI-IAGI-IAFMI-IATMI Join Convention Malang 2017, 25-28 September 2017 (Link)

  • Data-driven labeling of fluid type from wireline formation tester

    • Presented in IPA 2017

    • Himawan, G. R., Aviandito, M., Bagir, M., Iyer, M. (2017). Scoring System as a Quick And Objective Method to Determine Wireline Formation Testing Fluid Analysis Results. Proc. Indon. Petrol. Assoc., 41st Ann. Conv., 2017 (Link)

    • System became standard for reporting with a client

  • Automatic lineament extraction from DEM (On preparation for publication)

    • Kusumah, E. P., Sapiie, B., Danio, H., (2020). KDE Lineament Map Generator Open Source Software for Tectonic Regime Segmentation. Study Case: West Java Area

    • Tool will be open-sourced soon

  • Speakers in many professional organization events:

    • Epo Kusumah & Aviandito. SPE Balikpapan Section (2020). Machine Learning Implementation for Reservoir Modelling.

    • Epo Kusumah. Indonesian Society of Petroleum Geologist (2019). Introduction to Machine Learning for Geologists.

    • Epo Kusumah. Indonesian Petroleum Association Booth Presentation (2019): Welcoming 4.0 Era for Geologist.

Projects

  • Facies Prediction from Triple Combo Log. Study won an internal research grant ($20k) and implemented in Pertamina Hulu Sanga-Sanga Regional Facies modelling using +1800 well

  • Pertamina EP Sangatta Batu Utak Inorganic Geochemistry (On preparation)

  • SKKMigas Exploration Sweet Spot (On preparation)