Pore-pressure prediction derived by common-reflection-surface (CRS) stacking seismic velocity to prevent drilling problems in geopressure zones: a case study of Snapper Field, Gippsland Basin, Australia

2013 ◽  
Vol 53 (2) ◽  
pp. 485
Author(s):  
Goldy Oceaneawan ◽  
Noer Samsoe ◽  
Telaga Kautsar ◽  
Aditya Suharsono ◽  
Leksono Mucharam
Keyword(s):  
Pore Pressure ◽  
Seismic Velocity ◽  
Velocity Model ◽  
Pressure Data ◽  
Common Reflection Surface ◽  
Pore Pressure Prediction ◽  
Victorian Department ◽  
Accuracy Of Prediction ◽  
Gippsland Basin

Snapper Field is located in the Gippsland Basin, Australia. The field was discovered in 1968, and then continued by development drilling from the Snapper A platform, which started in 1981. The geopressure zones were encountered below 3,200 m at the Snapper—1 well and below 2,800 m at the Snapper A—21 well. If these zones are not anticipated before drilling, they could create problems, such as sticking, kick, or blowout. This extended abstract presents a technique to predict pore pressure from seismic velocity, where the seismic velocity was derived by CRS. Many case studies have shown that CRS stack could produce smooth macro-velocity model, which is more reliable to be used for pore pressure prediction. Eaton's equation was used to transform the seismic velocity derived by CRS to pore pressure as a function of depth. All of these workflows have been conducted using field data from the Snapper Field provided by the Victorian Department of Primary Industries. The prediction was compared with actual well pressure data to test the accuracy of prediction. The comparison shows that the pressure, which has been generated using this technique, is accurate. This result could be applied when making drilling programs particularly to identify the geo-pressure zones for wildcat/exploration wells in another field when pressure data from neighbouring wells are unavailable. If these geo-pressure zones could be anticipated, it will reduce drilling risk operation.

scholarly journals WELL-SEISMIC INTEGRATION TO PORE PRESSURE PREDICTION USING MULTIVARIATE GEOSTATISTICS: A CASE STUDY IN A BRAZILIAN EQUATORIAL MARGIN BASIN

2020 ◽  
Vol 38 (1) ◽  
pp. 32
Author(s):  
Flávia Braz Ponte ◽  
Francisco Fábio de Araújo Ponte ◽  
Adalberto Silva ◽  
Alberto Garcia Figueiredo
Keyword(s):  
Pressure Gradient ◽  
Pore Pressure ◽  
Seismic Velocity ◽  
Multivariate Geostatistics ◽  
Geostatistical Approach ◽  
Pore Pressure Prediction ◽  
Pore Pressure Gradient ◽  
Gradient Models ◽  
Pressure Analysis

ABSTRACT. Pore pressure modeling has been fundamental on several applications and stages of hydrocarbon exploration, evaluation, development and production. Pore pressure estimation is generally obtained from seismic velocity data and pore pressure analysis on wells. There are many methods available for pore pressure analysis, although more recently the application of the geostatistical approach is increasing in popularity and proving to be an important method for pore pressure gradient prediction in challenging areas where pore pressure prediction is difficult using deterministic methods. In this case study on a new frontier area in the Brazilian Equatorial Margin, multivariate geostatistics allowed integration of data at different scales and spatial variations of seismic and well variables produce pore pressure gradient models. The final result is a geopressure model where one can easily extract well-conditioned pore pressure information at any location.Keywords: geostatistical approach, different scales, pore pressure gradient models. INTEGRAÇÃO POÇO-SÍSMICA PARA PREDIÇÃO DE PRESSÃO DE POROS USANDO A GEOSTATÍSTICA MULTIVARIADA: UM ESTUDO DE CASO EM UMA BACIA DA MARGEM EQUATORIAL BRASILEIRARESUMO. A modelagem de pressão de poros tem sido fundamental em diversas aplicações e etapas da exploração, avaliação, desenvolvimento e produção de hidrocarbonetos. Em geral, a estimativa de pressão de poros é obtida a partir da integração de dados de velocidade sísmica e análise de pressão em poços. Existem diversos métodos para análise de pressão de poros, entretanto, atualmente, a aplicação da abordagem geoestatística está crescendo em popularidade e provando ser um importante método para predição de gradiente de pressão de poros em áreas de fronteiras onde a previsão de pressão de poros usando métodos determinísticos não é bem sucedida. Neste estudo de caso, localizado em uma área de nova fronteira na Margem Equatorial Brasileira, a geoestatística multivariada permitiu a integração das variáveis sísmicas e de poço em diferentes escalas e variações espaciais e a obtenção de modelos de gradiente de pressão de poros. Os resultados geraram um modelo de geopressão no qual a extração de valores de pressão de poros bem condicionados é simples em qualquer parte da área.Palavras-chave: abordagem geostatistica, diferentes escalas, modelos de gradiente depressão de poros.

Seismic velocity-based pore pressure prediction in a complex overpressure mechanism area: A case study from offshore Myanmar, Moattama Basin

2019 ◽  
Author(s):  
Prat Boonyasatphan ◽  
Akkarapol Sakulraungsri ◽  
Helge Sognnes ◽  
Saksit Sa-nguanphon ◽  
Pariyakorn Som-in ◽  
...  
Keyword(s):  
Pore Pressure ◽  
Seismic Velocity ◽  
Pore Pressure Prediction

Integrated Pore Pressure Prediction Using Seismic Velocity and Appraisal Well Data for a Virgin Reservoir Undergoing Depletion From Nearby Fields

2014 ◽  
Author(s):  
Kelvin Okpako ◽  
Prahlad Basak ◽  
Godwin Abia ◽  
Seyi Odegbesan ◽  
Simon Roya
Keyword(s):  
Pore Pressure ◽  
Seismic Velocity ◽  
Pore Pressure Prediction ◽  
Well Data

Ahead of Bit Pore Pressure Prediction using VSP - A Case Study in South China Sea

2010 ◽  
Author(s):  
Yuhong Xie ◽  
Jun Cai ◽  
Ling Xia Zhen ◽  
Hong Tian ◽  
Yan Hua Li ◽  
...  
Keyword(s):  
South China Sea ◽  
Pore Pressure ◽  
South China ◽  
China Sea ◽  
Pore Pressure Prediction

Simulating the impact of coal seam gas water production on aquifers

2012 ◽  
Vol 52 (1) ◽  
pp. 545 ◽  
Author(s):  
Julian Strand ◽  
Reem Freij-Ayoub ◽  
Shakil Ahmed
Keyword(s):  
Coal Seam ◽  
Electricity Production ◽  
Water Production ◽  
Hypothetical Case ◽  
Coal Seam Gas ◽  
Coal Resources ◽  
Victorian Department ◽  
Gippsland Basin ◽  
The Impact

Derived from a larger scale project, which studied geomechanical issues associated with coal seam gas (CSG) production, this paper investigates a hypothetical case study based on the Latrobe Valley, Gippsland Basin, Victoria. The paper focuses on examining aquifer water management associated with CSG production-related water extraction. As such, the paper limits itself to determining the volume of water production from a hypothetical case study area in the Latrobe Valley. A simplistic property model and methane production strategy has been used. The impact of extraction of this water on the hydraulic head in aquifers underlying the produced seams is quantified. The Latrobe Valley Depression contains 129,000 million tonnes of coal resources and is one of the world’s largest, and lowest cost, energy sources. Most of Victoria’s electricity is generated using coal from the Loy Yang, Morwell and Yallourn mines. In addition to these massive operations, significant additional coal resources are available and unallocated at this time. Opportunities exist for the continued usage of these resources for electricity production, gasification, liquefaction and other coal conversion processes, as well as solid fuel for industrial, domestic and other uses. The existence of data from the Victorian Department of Primary Industries 2003 coal resource model was the main reason for the selection of the case study, and their data was used to form a model of the stratigraphy of the Latrobe Valley. Aquifer models were simulated in MODFLOW, based on extraction figures modelled in the CSG simulator COMET3.

scholarly journals Enhanced velocity-based pore-pressure prediction using lithofacies clustering: a case study from a reservoir with complex lithology in Dezful Embayment, SW Iran

2019 ◽  
Vol 16 (1) ◽  
pp. 146-158
Author(s):  
Farid ArabAmeri ◽  
Hamidreza Soleymani ◽  
Behzad Tokhmechi
Keyword(s):  
Pore Pressure ◽  
Dezful Embayment ◽  
Pore Pressure Prediction ◽  
Sw Iran

Seismic pore pressure prediction without well data and poorly defined normal compaction trend lines: a case study from the Río Bravo Delta, Northern Mexico

2005 ◽  
Author(s):  
Juan C. Clarembaux ◽  
Marcelo Giusso ◽  
Roberto Gullco ◽  
Daniel Mujica ◽  
Carlos Carabeo Miranda ◽  
...  
Keyword(s):  
Pore Pressure ◽  
Northern Mexico ◽  
Pore Pressure Prediction ◽  
Rio Bravo ◽  
Well Data

scholarly journals Pore pressure prediction in laminated shaly sand reservoir: A case study of Bintuni Basin

2017 ◽  
Author(s):  
A. Haris ◽  
E. Parlindungan ◽  
A. Riyanto
Keyword(s):  
Pore Pressure ◽  
Pore Pressure Prediction ◽  
Shaly Sand
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