1. Amount of gas hydrate estimated from rock physics analysis based on morphology and intrinsic anisotropy in area B, Krishna Godavari offshore basin, expedition NGHP-02. (February 2021) Authors: Ghosh, Ranjana; Ojha, Maheswar Journal: Marine and petroleum geology Issue: Volume 124(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. An approach to estimate gas hydrate saturation from 3-D heterogeneous resistivity model: A study from Krishna-Godavari basin, Eastern Indian offshore. (January 2017) Authors: Jana, Soumya; Ojha, Maheswar; Sain, Kalachand; Srivastava, Shalivahan Journal: Marine and petroleum geology Issue: Volume 79(2017) Page Start: 99 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Assessment of gas hydrate reservoir from inverted seismic impedance and porosity in the northern Hikurangi margin, New Zealand. (January 2021) Authors: Shankar, Uma; Ojha, Maheswar; Ghosh, Ranjana Journal: Marine and petroleum geology Issue: Volume 123(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Estimation of porosity and gas hydrate saturation by inverting 2D seismic data using very fast simulated Annealing in the Krishna Godavari offshore basin, India. (15th December 2021) Authors: Joshi, Anju K; Ojha, Maheswar Journal: Geophysical prospecting Issue: Volume 70:Number 2(2022) Page Start: 388 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Machine learning in the classification of lithology using downhole NMR data of the NGHP-02 expedition in the Krishna-Godavari offshore Basin, India. (January 2022) Authors: Singh, Amrita; Ojha, Maheswar Journal: Marine and petroleum geology Issue: Volume 135(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Predicting lithology using neural networks from downhole data of a gas hydrate reservoir in the Krishna–Godavari basin, eastern Indian offshore. Issue 3 (30th December 2019) Authors: Singh, Amrita; Ojha, Maheswar; Sain, Kalachand Journal: Geophysical journal international Issue: Volume 220:Issue 3(2020) Page Start: 1813 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Prediction of Elastic Properties Within CO2 Plume at Sleipner Field Using AVS Inversion Modified for Thin‐Layer Reflections Guided by Uncertainty Estimation. Issue 11 (3rd November 2020) Authors: Ghosh, Ranjana; Ojha, Maheswar Journal: Journal of geophysical research Issue: Volume 125:Issue 11(2020) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Sediment classification using neural networks: An example from the site-U1344A of IODP Expedition 323 in the Bering Sea. (March 2016) Authors: Ojha, Maheswar; Maiti, Saumen Journal: Deep sea research Issue: Volume 125/126(2016) Page Start: 202 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Sediment classification using neural networks: An example from the site-U1344A of IODP Expedition 323 in the Bering Sea. (March 2016) Authors: Ojha, Maheswar; Maiti, Saumen Journal: Deep sea research Issue: Volume 125/126(2016) Page Start: 202 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗