Hampson russell seismic inversion software

Generally, the prediction of lithofacies and fluid type have over the years pose great challenge to reservoir geologists and geophysicists working on the old producing fields (discovered in the late 1950s with oil production from 1961) in onshore Niger Delta basin. Although, it is believed that the high cost of operations in deep water environments, followed by inability to characterize lithofacies and predict fluid types accurately across the basin depobelts are few major factors to contend with.

In the Niger Delta basin, the search for more hydrocarbons has, with time, shifted from onshore to near shelf and now to the deep water. The successful application of crossplot and seismic-based impedance inversion will be helpful in discriminating lithofacies and predicts fluids for accurate location of new wells for optimum production from the field. Furthermore, generated map revealed the presence of hydrocarbon-filled reservoirs in a northeastвЂ“southwest trending meandering channel. These classifications provide better decision in predicting and discriminating lithofacies accurately. Also, well log and inverted results from PI showed that values with less than в€’вЂ‰100 ft/s*g/cc represent hydrocarbon-filled sand, whereas greater values represent brine and shale. The sand lithofacies shows low values of gamma ray (вЂ‰65 API) and PI (>в€’вЂ‰100 ft/s*g/cc). Four classifications of lithofacies (clean sand, sandyshale, shaly-sand and shale) were discriminated based on the well log crossplot between gamma ray and Poisson impedance. A supervised model-based simultaneous inversion of Poisson impedance (PI) and crossplot was carried out on the prestack seismic data to understand the lithofacies classification and fluid types. Seismic inversion and well log data were integrated to image and characterize lithofacies at reservoir zones of interest.

This study used Poisson impedance attributes and crossplots from prestack seismic inversion and well logs to discriminate and predict hydrocarbon-filled reservoirs in the Bumma Field, Greater Ughelli Depobelt, Niger Delta Basin. Lithofacies distributions and continuity are very important for proper reservoir development and predicting the fluid types will also help in reducing uncertainties associated with characterizing hydrocarbon reservoirs.

Hampson russell seismic inversion software