S. Mangal, G.L. Hansa, S. R. Savanur, P.H. Rao and S.P. Painuly Western Onshore Basin, ONGC, Baroda. INTRODUCTION

Similar documents
P. S. Basak, Ravi Kant, K. Yasodha, T. Mukherjee, P. Rajanarayana, Sucheta Dotiwala, V. K. Baid, P.H. Rao, V. Vairavan, ONGC

Pre Stack Imaging To Delineate A New Hydrocarbon Play A Case History

3D Seismic Delineation of Thin Sandstone Reservoirs In Shalelimestone Rich Sequences Of Tapti-Daman Area: A Modelling Aided Approach

Objective Oriented Reprocessing of 3D data - A Case Study of Cambay Basin

Seismic Imaging using Attribute Analysis for Identifying Stratigraphic Plays in CA-C25/ TP Area, Tapti Daman Sector, Mumbai Offshore

Reservoir Characterization using AVO and Seismic Inversion Techniques

Reprocessing strategy for shallower prospects from the available 3D data set Case history of Cambay Basin

Distribution of Overpressure and its Prediction in Saurashtra Dahanu Block, Western Offshore Basin, India*

Delineation of Reservoir Geometry of Thin TS-4 Sands using Seismic Inversion in Rudrasagar Field, Assam & Assam Arakan Basin

APPENDIX C GEOLOGICAL CHANCE OF SUCCESS RYDER SCOTT COMPANY PETROLEUM CONSULTANTS

Bulletin of Earth Sciences of Thailand. Evaluation of the Petroleum Systems in the Lanta-Similan Area, Northern Pattani Basin, Gulf of Thailand

Hydrocarbon Potential of the Marginal Fields in Niger Delta Oza Field, a case study*

Reconstruction of Paleogeographic Setup of Tura Formation in Rudrasagar-Disangmukh-Panidihing Area of Upper Assam Shelf using 3-D Seismic techniques

Mapping of complex geology in Banskandi and north plunge of Teidukhan areas of Assam using high resolution 2D seismic survey

Dispersal Geometry of Basal Sands of Panna Formation in Heera Field from 3D Seismic Data

OIL INDIA LIMITED, GEOPHYSICS DEPARTMENT, DULIAJAN, ASSAM.

Oil and Natural Gas Corporation Ltd., VRC(Panvel), WOB, ONGC, Mumbai. 1

Multiattributes and Seismic Interpretation of Offshore Exploratory Block in Bahrain A Case Study

Hydrocarbon Exploration of Mesozoic in Kutch Offshore Area

The Stratigraphic Trap in the Benchamas Field Pattani Basin, Gulf of Thailand

Seismic Attributes and Their Applications in Seismic Geomorphology

Application of Multi-Attributes and Spectral Decomposition with RGB blending for understanding the strati-structural features: A Case study

Shallow Gas Prospect Evaluation in Shahbazpur Structure Using Seismic Attributes Analysis - a Case Study for Bhola Island, Southern Bangladesh

ANGOLA OFFSHORE LICENSING 2007 BLOCK 46

Bulletin of Earth Sciences of Thailand

Southern Songkhla Basin, Gulf of Thailand

Integrated Interpretation of Gravity, Magnetic & Seismic data for delineation of Basement Configuration in Sadiya Block, Upper Assam, India

Synthetic Seismogram A Tool to Calibrate PP & PS Seismic Data

Review of the Processing and Interpretation of Seismic data of C-24 field, Mumbai Offshore Basin- A case study

Integrated well log and 3-D seismic data interpretation for the Kakinada area of KG PG offshore basin

Trapping Mechanisms along North Similan and Lanta Trends, Pattani Basin, Gulf of Thailand

Hydrocarbon prospectivity of the Basement of Mumbai High Field

Kondal Reddy*, Kausik Saikia, Susanta Mishra, Challapalli Rao, Vivek Shankar and Arvind Kumar

Shear wave statics in 3D-3C : An alternate approach

Imprints of Mesozoic-Paleozoic strata and Eocene Carbonates in J&K Sub-Himalaya : Potential Rocks for Hydrocarbon Exploration

Generation of synthetic shear wave logs for multicomponent seismic interpretation

Uncertainties in Hydrocarbon Exploration in Deepwater areas: a few case studies

11th Biennial International Conference & Exposition. Key Words: Geomechanical, Strain, Discrete Fracture Network (DFN), Slip stability

2D Seismic Interpretation and Well Log Analysis of Missakaswal Area, Upper Indus Basin, Pakistan

SAND DISTRIBUTION AND RESERVOIR CHARACTERISTICS NORTH JAMJUREE FIELD, PATTANI BASIN, GULF OF THAILAND

Available online Journal of Scientific and Engineering Research, 2018, 5(1):1-10. Research Article

The role of seismic modeling in Reservoir characterization: A case study from Crestal part of South Mumbai High field

Bulletin of Earth Sciences of Thailand. Controls on Reservoir Geometry and Distribution, Tantawan Field, Gulf of Thailand.

Structural Modelling of Inversion Structures: A case study on South Cambay Basin

Petroleum Potential of the Application Area L12-4

Seismic Inversion on 3D Data of Bassein Field, India

Stochastic modeling: A qualitative approach for generating 3D depositional model, Jambusar Field, South Cambay Basin, India.

Tu P05 06 Duplex Wave Migration Case Study in Yemen

REGIONAL GEOLOGY IN KHMER BASIN

POTENTIAL STRATIGRAPHIC PLAY IN THE WESTERN HA LONG BASIN FROM 3D SEISMIC INVERSION AND REGIONAL GEOLOGICAL CONTEXT

Seismic Inversion and EMERGE Studies for Porosity distribution analysis in DCS area, Bombay Offshore Basin

An Alternative Approach to Process the Wide-Angle Reflection Data By Pre-stack Compositing of Gathers for Sub-basalt Imaging

RELINQUISHMENT REPORT FOR LICENCE P.1663, BLOCK 29/4b and 29/5e

RELINQUISHMENT REPORT. License P1546 Block April 2009

Maturity Modeling of Gomin and South Gomin fields Southern Pattani Basin, Gulf of Thailand

SEISMIC AND PETROPHYSICAL ATTRIBUTES OF RESERVOIRS IN EBI OIL FIELD, NIGER DELTA

Case Study of the Structural and Depositional-Evolution Interpretation from Seismic Data*

P066 Duplex Wave Migration for Coal-bed Methane Prediction

Multifocusing 3D diffraction imaging for dectection of fractured zones in mudstone reservoirs

Fault seal analysis: a regional calibration Nile delta, Egypt

Reservoir Classification and Geological Remodeling of Kalol Sands of Sobhasan Complex, North Cambay Basin, India.

Sub Basalt Imaging Using Low Frequency Processing and Angle stack In Saurashtra Region, Western India

EGAS. Ministry of Petroleum

Structural Interpretation of Dipmeter Log A Case Study from Baramura Field of Tripura

Integration of Seismic and Seismological Data Interpretation for Subsurface Structure Identification

STRUCTURAL INTERPRETATION AND HYDROCARBON POTENTIAL OF OBUA FIELD, NIGER DELTA, SOUTHERN NIGERIA

Formation Evaluation of Unconventional Basaltic Deccan Trap Basement Reservoir of Gamij Field, Cambay Basin, India

Reservoir Delineation of Lower Kalol Pays and Field Growth in Wadu and Paliyad Areas, Cambay Basin, India

Abstract. Introduction. Regional Setting. GCSSEPM to be published December 2003

5 ORIGINAL HYDROCARBONS IN PLACE

Pre-Feasibility Report

Amplitude variation with offset AVO. and. Direct Hydrocarbon Indicators DHI. Reflection at vertical incidence. Reflection at oblique incidence

Process, Zeit Bay Fields - Gulf of Suez, Egypt*

MUHAMMAD S TAMANNAI, DOUGLAS WINSTONE, IAN DEIGHTON & PETER CONN, TGS Nopec Geological Products and Services, London, United Kingdom

Delineation of tectonic features offshore Trinidad using 3-D seismic coherence

Quick Look Interpretation Techniques

Seismic Reflection Imaging across the Johnson Ranch, Valley County, Idaho

UK Onshore Licence PEDL 153 Relinquishment Report September 2010


Structural Styles and Its Implication on Petroleum Systems of North Assam Shelf, Upper Assam Basin, India*

Petroleum geology framework, West Coast offshore region

Hydrocarbon Volumetric Analysis Using Seismic and Borehole Data over Umoru Field, Niger Delta-Nigeria

PROCEEDINGS, INDONESIAN PETROLEUM ASSOCIATION Thirty-Eighth Annual Convention & Exhibition, May 2014

Evaluation of Hydrocarbon Volume in TRH Field, Onshore Niger Delta, Nigeria

S.P.S.Negi, Ajai Kumar, D. Subrahmanyam, V.K.Baid, V.B.Singh & S.Biswal Mumbai High Asset, SPIC, ONGC, Mumbai INTRODUCTION

Luderitz Basin, Offshore Namibia: Farm-out Opportunity. APPEX, London, March 2015 Graham Pritchard, Serica Energy plc

Implications of the Rabat Deep 1 exploration well on the prospectivity of the surrounding area

EGAS. Ministry of Petroleum

Prestack Depth Migration - An ultimate aspiration for subsurface imaging in geologically complex area.

DHI Analysis Using Seismic Frequency Attribute On Field-AN Niger Delta, Nigeria


Licence P900 Block 49/8b Relinquishment Report

PETROLEUM GEOSCIENCES GEOLOGY OR GEOPHYSICS MAJOR

Comparative Study of AVO attributes for Reservoir Facies Discrimination and Porosity Prediction

Seismic stratigraphy, some examples from Indian Ocean, interpretation of reflection data in interactive mode

Serica Energy (UK) Limited. P.1840 Relinquishment Report. Blocks 210/19a & 210/20a. UK Northern North Sea

Licence P1368: Relinquishment Report (end of 2 nd term) Hurricane Exploration PLC

Evolution of the Geological Model, Lobster Field (Ewing Bank 873)

AVO is not an Achilles Heel but a valuable tool for successful exploration west of Shetland

Deep Gas Exploration In Cambay Basin, India A Case Study

Transcription:

5th Conference & Exposition on Petroleum Geophysics, Hyderabad-2004, India PP 782-787 Identification of Shallow Gas Prospects from DHI and Inversion Studies of 2D Seismic Data, Kosamba Oil field, South Cambay Basin, Gujarat, India A Case Study S. Mangal, G.L. Hansa, S. R. Savanur, P.H. Rao and S.P. Painuly Western Onshore Basin, ONGC, Baroda. ABSTRACT : Direct hydrocarbon indicators are the measurements by which presence and absence of a hydrocarbon accumulation can be predicted. These indicators include local amplitude increase (bright spot), decrease (dim spot), phase change, lowering of impedance due to presence of gas and flattening of seismic events due to gas-water contact. All these seismic attributes are directly related to the presence of hydrocarbons in a known field. These attribute changes can as well be due to lithological variations. A bright spot identified on a seismic section passing through a gas well, in Kosamba field, South Cambay Basin, led to the analysis of seismic attributes and resulted in identification of a shallow gas prospect. Usually bright spots can be authentically identified at shallow depths and are helpful in delineation of gas fields. Even though shallow gas fields may not be commercial, these observations help to ward off the drilling hazards. This paper deals with the analysis of seismic attributes to delineate the shallow gas pool in Kosamba field, South Cambay Basin. INTRODUCTION Kosamba is a well established oil & gas field located to the south of giant Ankleshwar field in the Narmada block of south Cambay Basin (Fig 1). Thirty six wells have so far been drilled over this prospect. Sands of Ankleshwar Formation of Middle-Upper Eocene age are the main oil/gas producers in the field. However, one well has produced gas from sands of Tarkeshwar Formation of Early Miocene age which are at shallow depths of the order of 300-400m. In some other wells of this field, shallow gas was interpreted from logs. Apart from this, six wells in Ankleshwar field are also gas producers from shallow sand reservoirs. Shallow gas is indicated in Olpad field also which is situated to the southwest of Kosamba in the Narmada block. Scrutiny of seismic data revealed a conspicuous high amplitude zone (Bright Spot), correlatable with these shallow Miocene pay sands over Kosamba field. Study of amplitude attribute of seismic data within this zone has clearly brought out a well defined gas prospect. The inversion studies carried out over some key seismic lines further corroborate the findings. GEOLOGICAL SETTING The Kosamba field is a doubly plunging anticlinal structure on the upthrown side of a major NE-SW trending reverse fault. The Narmada block is traversed by number of such reverse faults, considered to be result of wrench related tectonic movements of Late Miocene age (Ahuja, 1990). These tectonic movements changed the geomorphology of the area Figure 1 : Location map of South Cambay Basin. from vast delta plains to the one having a number of structural high and low trends separated by ENE-WSW trending reverse faults and were instrumental for the formation of inversion 782

structures on the upthrown sides of these faults. Middle Eocene sands, deposited in distal delta to delta-front environment in this area, are the reservoirs over these structures. Olpad field is an exception where Early Miocene sands deposited in alternate transgressive and regressive regime are the main producing sands. Intervening transgressive shales act as excellent cap rock. The thick Cambay Shale deposited in Broach depression has sourced these hydrocarbons. STRUCTURAL STYLE OF THE AREA Kosamba field is covered by a number of 2D seismic campaigns. The seismic data along with the subsurface data have been studied. The isochron map at the top of Tarkeshwar Formation (Fig.2) brings out the Kosamba structure as a large northeast- southwest oriented anticline dipping towards westsouthwest with two independent culminations. Southeastern flank of the Kosamba anticline is steeply dipping and is bounded by a major reverse fault with up throw towards north, while the northern flank is having relatively gentle dip towards north-northwest. The Kosamba inversion structure came into existence during Late Miocene with the reactivation of preexisting normal faults F 1 F 1 and F 2 F 2. Gas is believed to have escaped along these faults from older (Middle Eocene) Formations and was trapped in shallow Tarkeshwar sands. At the crestal part of the structure the Miocene sequence is exposed to the surface. Figure2 : Isochron map at the Top of Tarkeshwar Formation, Kosamba field. SHALLOW GAS RESERVOIRS The Eocene sands form the main pays in Kosamba and Ankleshwar fields. However, well-a (Fig 2) of Kosamba has additionally produced gas from the shallow Miocene sands. In well-c, which is located to the east of well A, during testing of the Miocene sands, a blowout occurred and the well was abandoned. Another well i.e., well-g located to the west of well-a is hydrocarbon bearing on log but not tested yet, as it is producing oil from the Eocene sands. Five wells in the Ankleshwar field are also gas bearing in the equivalent pays of Early Miocene age. Similarly, in the southwest of Kosamba, shallow gas reservoirs (Late Miocene) have been indicated in some of the wells and also from seismic data over the Olpad field where sands of Tarkeshwar Formation of Early Miocene age are the main pays. To understand whether the Early Miocene gas in Kosamba and Ankleshwar fields and Early Miocene gas from Olpad field were of the same origin, gas samples were studied in the laboratory. The study has established that the Kosamba shallow gas is of different origin than the Early Miocene gas of Olpad field. This leads to the belief that the source of shallow gas of Kosamba and Ankleshwar fields is same as that of underlying Eocene gas. It is surmised that during Late Miocene orogeny the major faults bounding Kosamba and Ankleshwar structures became active and acted as conduits for the migration of gas from Eocene pays to shallow reservoirs which was entrapped in the available structural closures. Similarly, the Early Miocene gas of Olpad field escaped along the fault to the shallower sands of Late Miocene age. DHI STUDIES Unusually high amplitude reflections at shallow depths(<1000m) specially in clastic regimes are considered one of the known Direct Hydrocarbon Indicators (DHIs). The study of seismic data over Kosamba area indicated presence of such reflections, also known as bright spots, above the main pays of the Eocene age (Fig 3). On calibration, these reflections correlated with lower Tarkeshwar sands (TS-1A) of Early Miocene age. These sands have produced gas in well-a and have also been interpreted as gas bearing in a few other wells from log data. The high amplitude signatures were observed at shallow gas producing wells of Ankleshwar field too. However these signatures were more persistent over a number of seismic lines of Kosamba area (Figs 4-6). Therefore the seismic data over Kosamba area was reviewed as an attempt to delineate these shallow gas sands. For this purpose, a correlatable seismic event, close to the top of TS-1A sand and enveloping these high amplitude reflections was mapped over the Kosamba field. The isochron map of this event (Fig 7) depicts two culminations at the Tarkeshwar top. The other structural details of the area are similar to that at the Tarkeshwar top. To bring out the geometry of the anomalous reflection amplitudes observed on various seismic lines, attribute analysis was carried out using the StratAmp software. The RMS amplitude was computed between the reflections 783

Figure 3: The seismic section AA clearly shows the high amplitude zone within Tarkeshwar Formation (Bright Spot). Well- A has produced gas from this sand. Figure5: Seismic section CC passing through high amplitude zone in the southwestern part of the area, indicating bright spot within Tarkeshwar Formation Figure 4 : Seismic section BB through well-a. Bright spot is seen clearly. close to the top of TS-1A, and the one corresponding to the top of the Dadhar Formation which is the base of target sands. The RMS amplitude map (Fig 8) clearly brings out the geometry of the high amplitude anomaly observed in well-a. The area of high amplitude is spread over the crestal part of the structure only and is characterized by two independent high amplitude anomalies. The well A, which is located in the northwestern anomaly produced gas, while the well-b which is at the flank of the southwestern anomaly flowed water on testing as it falls outside the structural closure (Fig 7). REFLECTION STRENGTH AND PHASE STUDIES To validate the RMS amplitude anomaly observed over the Kosamba field, the reflection strength has been Figure 6: Seismic line DD passing through southwestern part of anomaly and showing the bright spot. computed along seismic lines AA, BB and DD as indicated on the map. The reflection strength sections (Figs 9-11) define the high amplitude (Bright Spot) anomaly with improved clarity. Similarly, the phase attribute along line AA (Fig 12) also demarcates the zone of interest, clearly. INVERSION STUDIES In the gas saturated sands at the depths of the order of 300-400m, the acoustic impedance is expected to be extremely low, of the order of shale acoustic impedance or still lower than that. To have a relative estimate of the acoustic impedance where bright spot anomalies were observed, inversion studies were carried out using Hampson-Russell s 784

Figure 7 : Isochron map close to the top of TS-1A pay sand. Two independent closures are mapped at the crestal part. Well- A is within the northeastern closure while well-b is outside the southwestern culmination. The new prospect is in the southwestern part of the area (Location-Q) Figure 9 :Reflection strength attribute along line AA. The bright spot anomaly is clearly defined. Figure 10 : Reflection strength attribute along line BB indicating the bright spot. Figure 8: The RMS amplitude map, using StratAmp was computed between TS-1A ( top of gas sand) and Dadhar Formation Top ( base of gas sand). The high amplitude zone is spread over the crestal part of Kosamba structure with two distinct anomalies corresponding to two structural culminations. Key seismic lines are indicated. GLI and Strata software module. Log data of well-r was used for initial model building. Well-R is located outside the anomaly and hence could not influence the inversion results in any favourable manner. This is the nearest well where VSP data is available. The inversion results of the seismic lines AA, BB and DD are shown in Figs 13-15.The gas filled sands are represented by the lowest impedance zone encapsulated within relatively higher impedance shales. The underlying high impedance layer below the low impedance gas sand is due to water bearing sands. The computed Figure 11 : Reflection strength attribute along line DD indicating the bright spot impedance sections provide a better, vertical as well as lateral definition of the gas sands. The amplitude, reflection strength 785

Figure 12 : Phase attribute along line AA. Shallow gas sand lense is demarcated by highly continuous but localized phase event corresponding to bright spot anomaly. The attitude of events is relatively flatter below the anomaly probably because of velocity lowering in gas sands. as well as phase attributes define a thick zone of anomaly which can be associated with the tail effects of seismic wavelet which is rarely an ideal pulse. However, computed impedance sections do away with this limitation and define the low impedance layer more precisely. Figure 13: The computed impedance section along line AA indicating low impedance gas sands at the producing well A. These gas sands are overlying the water bearing sand (high impedance). The low impedance zone coincides with the crestal part of the structure. ELECTROLOG STUDIES To corroborate the results of study and to understand the vertico-lateral distribution of these sands over the structure, subsurface data of Kosamba wells have been studied. The E- W Electrolog (Fig-16) correlation profile shows good development of sand in the wells situated over the central part of the anomaly. Based on the log data, sand isolith map of the TS- 1A pay sand has been prepared (Fig-17). The sand isolith map shows 16 to 18 m of sand development in the crestal part of the structure where well-a is located. Well-B, which is at the flank of southwestern anomaly but outside the structural closure, flowed water on testing from this sand. It can thus be inferred that the anomaly is indication of good sand development along with hydrocarbon entrapment in the structurally favorable areas. DHI AS TECHNIQUE TO IDENTIFY SHALLOW GAS POOLS Presence of high amplitude reflection events has been observed at various places in Narmada Block scattered over Figure 14 : The computed impedance along line BB. Low impedance and flatter attitude of underlying events in time domain in clearly seen. Both well-r and well A are located on the line. It is observed that low impedance layer is better developed to the north east of well A as is also seen in Fig 8. Ankleshwar, Kosamba and Olpad structures. As the anomalous amplitude is quite persistent over a number of seismic lines in Kosamba area, it was taken up as a test case to see the possibility of detection of these shallow gas pools using RMS amplitude attribute studies. The matching of the anomaly with the well data is a pointer towards the possibility of successful application of this tool. Other attributes and inversion results 786

Figure 15: The computed impedance along line DD passing through south western anomalous zone which is yet to be tested. Low impedance layer is better developed here and is expected to be thicker than at well-a. Well-R has been projected along the structural contour on this line. Figure 17 : Sand isolith map of TS-1A pay sand. 16-18m thick sand has developed over the crestal part of Kosamba structure. However the entrapment is confined to structurally favourable position only. CONCLUSION RMS amplitude has proved to be a reliable DHI tool for detection of shallow gas pools over Kosamba field. Inversion studies in such areas indicate the low impedance, gas saturated sand reservoirs with enhanced accuracy and can be used for better defining of such pools. Similar amplitude studies may prove useful for delineating shallow gas sands encountered in some of the wells over Ankleshwar and Olpad structures and can also be useful for prediction of drilling hazards in high risk areas. ACKNOWLEDGEMENTS Figure 16: Electrolog correlation profile through the Kosamba wells. Gas sand is well developed over the crestal part of the structure. Well-A produced gas on testing. Blow out occurred at well-c from this sand. Other wells are interpreted as gas bearing from log characters. Well-C, which is structurally lower is water bearing. have further validated the study. However, it is desirable that such studies are carried out over 3D data sets where better focusing of reflection energy results in high accuracy of mapping of these bright spot anomalies. The mapping of such high amplitude anomalies at shallow depths can be successfully used to either establish the commercial viability of shallow gas pools or to be forewarned of the areas of potential drilling hazards. The authors express their gratitude to Mr. S.K. Mandal, ED-Basin Manager, Western Onshore, Baroda, for providing an opportunity to work on this project. Thanks are also due to Mr. S.S.Sawkar and Mr. A. K. Sinha for their support during the preparation of this paper. REFERENCES Ahuja A.D. et.al, 1990, Structural styles in south Cambay Basin Genesis and impact on hydrocarbon accumulation, ONGC Bulletin,Vol.27, No 2 Sheriff. R.E., 1976, Interpreting the stratigraphy from seismic data, AAPG bulletin, vol 60. Sheriff R..E., Encyclopedic dictionary of Exploration Geophysicists. 787