Merger Elnusa dengan PDSI masih dalam pembahasan internal seiring penataan struktur anak usaha Pertamina hingga semester I-2026.

WARTABANYUMAS, CILACAP – Serikat Pekerja Pertamina Patra Wijayakusuma (SPP PWK) Cilacap menyatakan penolakan terhadap rencana penggabungan PT Pertamina Drilling Services Indonesia (PDSI) ke PT Elnusa Tbk. Ketua Umum SPP PWK Cilacap, Dwi Jatmoko, mengatakan pihaknya memahami kebutuhan efisiensi dan penataan struktur perusahaan, tetapi meminta agar kebijakan tersebut tidak berdampak pada berkurangnya penguasaan negara terhadap bisnis drilling yang dinilai strategis. “Kami tegas menolak jika penggabungan PDSI ke perusahaan terbuka berujung pada berkurangnya penguasaan negara atas bisnis drilling strategis,” kata Dwi, Rabu (9/9/2026). Menurut Dwi, rencana penggabungan tersebut tidak seharusnya hanya dilihat sebagai persoalan restrukturisasi korporasi karena menyangkut keberadaan aset, pengalaman, dan kemampuan strategis Indonesia di sektor hulu minyak dan gas.

Merger Elnusa dengan PDSI masih dalam pembahasan internal seiring penataan struktur anak usaha Pertamina hingga semester I-2026.

Entitas Grup Pertamina, PT Elnusa Tbk (ELSA), buka suara soal rencana penggabungan usaha atau merger dengan PT Pertamina Drilling Services Indonesia (PDSI). Apa kata mereka?

How can I estimate PDSI value in GEE for a specific shapefile area? I am having some problem in the code. var feature = ee.FeatureCollection(table); Map.addLayer(feature, {}, 'My Polygon'); var startDate = ee.Date('2005-01-01'); var endDate = ee.Date('2005-12-31'); // Load the necessary image collections var temperature = ee.ImageCollection("NASA/ORNL/DAYMET_V4"), precipitation = ee.ImageCollection("NASA/ORNL/DAYMET_V4"), elevation = ee.Image("USGS/SRTMGL1_003"); // Filter the image collections to the desired time range and region temperature = temperature.filterBounds(feature) .filterDate(startDate, endDate).select('tmax'); precipitation = precipitation.filterBounds(feature) .filterDate(startDate, endDate).select('prcp'); elevation = elevation.clip(feature); // Calculate the monthly temperature and precipitation averages var monthlyTemp = temperature.reduce(ee.Reducer.mean().combine({ reducer2: ee.Reducer.median(), sharedInputs: true })); var monthlyPrecip = precipitation.reduce(ee.Reducer.mean().combine({ reducer2: ee.Reducer.median(), sharedInputs: true })); // Calculate the water balance variables var tmax = monthlyTemp.select('tmax'); var pet = tmax.multiply(0.003 + 0.007 * elevation).subtract(0.26); var ppt = monthlyPrecip.select('prcp'); // Calculate the PDSI var pdsi = ee.Image().expression( '(((0.897 * (pet - ppt)) + 0.166 * ((pet - ppt) ** 1.5)) / ' + '(((12 * 0.897 * (pet - ppt)) / (tmax - 32)) + 1))', { pet: pet, ppt: ppt, tmax: tmax }).rename('pdsi'); var visParams = { min: -5, max: 5, palette: [ 'red', 'yellow', 'green', 'cyan', 'blue' ], value: 'pdsi' // Specify the name of the band to use for visualization }; Map.addLayer(pdsi, visParams, 'PDSI'); // Check for any errors or missing parameters print(pdsi);

Iceland Drilling and Pertamina Drilling Services Indonesia have signed a memorandum of understanding (MoU), marking an important step in strengthening collaboration between the two companies in geothermal drilling services. This partnership reflects a shared commitment to exploring and developing new business opportunities, while combining the respective capabilities, expertise, and experience of both organisations. The signing ceremony was witnessed by the Director General of International Law and Treaties from the Ministry of Foreign Affairs of the Republic of Indonesia and the Ambassador of Iceland to Indonesia, highlighting the importance of international co-operation in supporting the energy transition and the sustainable development of geothermal resources. Through this collaboration, PDSI and Iceland Drilling aim to support sustainable business growth, expand opportunities in Indonesia and international markets, and contribute to the advancement of geothermal well construction. By combining Indonesia’s world-class geothermal resource potential with Iceland’s decades of geothermal drilling experience, the partnership creates a strong platform for innovation, knowledge sharing, and the future development of next-generation geothermal technologies, including the potential of superhot rock (SHR) resources. Indonesia and Iceland are uniquely positioned as global geothermal leaders. By working together, both companies can help unlock more renewable energy, strengthen energy security, and contribute to a...

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I have a feature collection of about 80,000 tiles, and I am trying to calculate the annual maximum drought severity index score for each tile using TerraClimate data. TerraClimate is an image collection, so I started by transforming it into a stack of images. var drought_M = ee.ImageCollection("IDAHO_EPSCOR/TERRACLIMATE").select("pdsi") .filter(ee.Filter.date('2000-01-01', '2012-12-31')); //This function creates a stack of images from the image collection function newCollectionToImage(collection){ var stack = ee.Image(collection.iterate(function(img, prev) { return ee.Image(prev).addBands(img); }, ee.Image(1))); stack = stack.select(ee.List.sequence(1, stack.bandNames().size().subtract(1))); return stack; } //This function renames the image collection bands var drought_M_rename = drought_M.map(function(img){ var y = ee.String(ee.Date(img.get('system:time_start')).get("year")); return img.set("year",y).rename(y); }); //Apply the function to create a stack of images var droughtImageStack = newCollectionToImage(drought_M_rename); I tried to use reduceRegions() to get the monthly score for each tile. var droughtImageStack = tchImg.reduceRegions(tiles, ee.Reducer.mean()); This works in the terminal, but when I try to export the dataframe as a csv, GEE returns the error: Error: User memory limit exceeded. I've been told before that image reductions become a lot more efficient when you map over the feature collection. I tried to use the basic intuition of how to map over a feature collection for reduceRegion() and attempted the following: var droughtTiles = tiles.map(function(feature) { return feature.set(droughtImageStack.reduceRegions({ reducer: ee.Reducer.mean(), geometry: feature.geometry(), scale: 10 })); }); But this map function returns an error: Required argument (collection) missing to function: Image.reduceRegions(image, collection, reducer, scale, crs, crsTransform, tileScale)... How can I adjust my mapping function to produce monthly tile means that export?

PT Pertamina Drilling Services Indonesia (PDSI) merampungkan pengeboran Sumur KRG-042 di Struktur Karangan, Field Limau, sekitar 20 kilometer di tenggara Kota ...

Pengeboran oleh Pertamina menggunakan Rig PDSI#15.3/N110-M (1.500 HP) dan diselesaikan tanpa kecelakaan kerja (zero accident).

From color breakthroughs to the expansion of top-selling collections, PDSI’s slate of introductions helps gardeners trade screen time for bloom time with landscapes that feel joyful, personal, and refreshingly low effort.

Loxley, AL – Plant Development Services Inc. (PDSI) debuted vibrant introductions at Cultivate‘26 designed for a new era of “dopamine digging” where landscape

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PT Patra Drilling Contractor (PDC), anak usaha PT Pertamina Drilling Services Indonesia (PDSI) meraup laba bersih sebesar Rp143,07 miliar sepanjang 2025.

Pekanbaru (Riaunews.com) - Debu jalanan dan deru mesin rig pengeboran bukan hal asing bagi Chandra Setiawan. Pemuda asal Balam KM 15, Kabupaten Rokan Hilir itu selama bertahun-tahun membantu ibunya berjualan makanan di sekitar lokasi proyek pengeboran migas demi menyambung hidup. Kini, perjalanan hidup Chandra berubah drastis. Dari yang sebelumnya hanya berada di luar pagar area kerja migas, ia resmi bergabung sebagai kru profesional di Rig PT Pertamina Drilling Services Indonesia (PDSI) setelah mengikuti program Vokasi Migas yang digelar…

How can I estimate PDSI value in GEE for a specific shapefile area? I am having some problem in the code. var feature = ee.FeatureCollection(table); Map.addLayer(feature, {}, 'My Polygon'); var startDate = ee.Date('2005-01-01'); var endDate = ee.Date('2005-12-31'); // Load the necessary image collections var temperature = ee.ImageCollection("NASA/ORNL/DAYMET_V4"), precipitation = ee.ImageCollection("NASA/ORNL/DAYMET_V4"), elevation = ee.Image("USGS/SRTMGL1_003"); // Filter the image collections to the desired time range and region temperature = temperature.filterBounds(feature) .filterDate(startDate, endDate).select('tmax'); precipitation = precipitation.filterBounds(feature) .filterDate(startDate, endDate).select('prcp'); elevation = elevation.clip(feature); // Calculate the monthly temperature and precipitation averages var monthlyTemp = temperature.reduce(ee.Reducer.mean().combine({ reducer2: ee.Reducer.median(), sharedInputs: true })); var monthlyPrecip = precipitation.reduce(ee.Reducer.mean().combine({ reducer2: ee.Reducer.median(), sharedInputs: true })); // Calculate the water balance variables var tmax = monthlyTemp.select('tmax'); var pet = tmax.multiply(0.003 + 0.007 * elevation).subtract(0.26); var ppt = monthlyPrecip.select('prcp'); // Calculate the PDSI var pdsi = ee.Image().expression( '(((0.897 * (pet - ppt)) + 0.166 * ((pet - ppt) ** 1.5)) / ' + '(((12 * 0.897 * (pet - ppt)) / (tmax - 32)) + 1))', { pet: pet, ppt: ppt, tmax: tmax }).rename('pdsi'); var visParams = { min: -5, max: 5, palette: [ 'red', 'yellow', 'green', 'cyan', 'blue' ], value: 'pdsi' // Specify the name of the band to use for visualization }; Map.addLayer(pdsi, visParams, 'PDSI'); // Check for any errors or missing parameters print(pdsi);