India's Hydrocarbon Outlook – 2022-2023

71 DGH: 3 DECADES OF UNLOCKING INDIA'S HYDROCARBON POTENTIAL data (250 stations) and Geochemical data (15 surveys) have also been used in the study. The 2017 resource reassessment study has incorporated 41,895 LKM of 2D seismic data, 400 SKM of 3D seismic data, 23 drilled well information. Gravity, 2D seismic data and reports are good, magnetic, geochemical and well data are fair while there is no 3D seismic data. Despite the fact that there is less seismic data, reliability of results is good. Vindhyan basin and Duarmara field of Assam Shelf has been used as analogue. Areal Yield method has been used due to inadequate geoscientific data. There are large data gaps without adequate linkage. Presence of source rocks and maturity of Tertiary sequences may be explored. Results may be reviewed as and when new sets of data are available. The play-level undiscovered (risked) hydrocarbon inplace for Ganga-Punjab basin is given below: The basin is spread into the state(s) of Bihar, Chandigarh, Delhi, Haryana, Himachal Pradesh, Jammu and Kashmir, Madhya Pradesh, Punjab, Uttar Pradesh, Uttarakhand. 1 MMTOE Cenozoic Tertiary: Proterozoic Neo-Proterozoic: 125 MMTOE Status, available datasets and opportunities In terms of awarded acreage that are now active in Ganga-Punjab basin, 2,428 sq km are under HELP. Under National Seismic Programme, conducted during 2016-22 in unappraised onland areas, 3,858 LKM broad-band 2D seismic data were acquired in the basin. As of March 1, 2023, NDR, for Ganga-Punjab basin has archived 28,781 LKM of 2D seismic data, 1,363 SKM of 3D seismic data, 19 drilled well information. Under a short-term collaborative project on basin research, the geoscientific datasets of the basin are now independently assessed by RGIPT. 0 80 160 240 320 40 KM GANGA PUNJAB BASIN JAMMU AND KASHMIR LADAKH HIMACHAL PRADESH UTTARAKHAND HARYANA UTTAR PRADESH PUNJAB DELHI MADHYA PRADESH BIHAR RAJASTHAN LEGEND HELP BLOCK 2D SEISMIC 3D SEISMIC WELLS GANGA BASIN SEDIMENTARY BASIN DGH Internal