Migration Lag - What is it and how it affects Charge Risk and Fluid Properties*

Similar documents
Oil & Gas. From exploration to distribution. Week 1 V05 Origin of hydrocarbon resources part 1. Jean-Pierre Deflandre

Education Days Moscow Closing Session

Petroleum Systems (Part One) Source, Generation, and Migration

Tim Carr - West Virginia University

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

The Influence of Pore Pressure in Assessing Hydrocarbon Prospectivity: A Review

Relinquishment Report. for. Licences: P.1596 (Blocks 205/3, 205/4a) P.1836 (Block 205/2b) P.1837 (Block 205/5b)

Exploration _Advanced geophysical methods. Research Challenges. Séverine Pannetier-Lescoffit and Ute Mann. SINTEF Petroleum Research

We LHR1 01 The Influence of Pore Pressure in Assessing Hydrocarbon Prospectivity - A Review

OGIP Evaluation of Shale Gas and CBM with Basin Modeling and Gas Isotopes Interpretation*

North GOM Petroleum Systems: Modeling the Burial and Thermal History, Organic Maturation, and Hydrocarbon Generation and Expulsion

APPENDIX C GEOLOGICAL CHANCE OF SUCCESS RYDER SCOTT COMPANY PETROLEUM CONSULTANTS

Risk Analysis Methods

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

Licence P.185, Blocks 30/11b and 30/12b Relinquishment Report February 2015

Using new facies architecture models and geochemical data constraints to reconstruct Kupe and Kapuni field charge dynamics

Vail et al., 1977b. AAPG 1977 reprinted with permission of the AAPG whose permission is required for further use.

Relinquishment Report for Licence P.1265, Block 12/28

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

Basin modeling: the key for unconventional shale gas assessment

Today s oil is yesterday s plankton

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

Tetsuya Fujii. Bachelor of Geology, Shinshu University, Japan Master of Geophysics, the University of Tokyo, Japan

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

One or two deficiencies of current fault seal analysis methods

Hydrocarbon Charge Analysis of the SECC Block, Columbus Basin, Trinidad and Tobago

Pressure Regimes in Deep Water Areas: Cost and Exploration Significance Richard Swarbrick and Colleagues Ikon GeoPressure, Durham, England

Ministry of Oil and Minerals Petroleum Exploration & Production Authority BLOCK 80 (WADI SARR)

A Model for Single-Phase Migration of Trenton-Black River Hydrocarbon in the Southern Michigan Basin*

Relinquishment Report

CO2 storage modelling and capacity estimates for the Trøndelag Platform a basin modelling approach

Technology of Production from Shale

Geology & Geophysics Applied in Industry. EXERCISE 2: A Quick-Look Evaluation

MODULE PREREQUISITES FOR HYDROCARBON ACCUMULATION

Fault seal analysis: a regional calibration Nile delta, Egypt

Comparison of Reservoir Quality from La Luna, Gacheta and US Shale Formations*

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

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

Main Challenges and Uncertainties for Oil Production from Turbidite Reservoirs in Deep Water Campos Basin, Brazil*

Mike Solt, a WVU GEOL alumnus just sent a message, which might be of interest to those of you looking for an internship this summer:

Relinquishment Report Licence P1597

Licence P Relinquishment Report

Neogene Uplift of The Barents Sea

Ny bassengmodellering for Barentshavet Ute Mann SINTEF Petroleumsforskning

Pore Pressure Estimation A Drillers Point of View and Application to Basin Models*

Jurassic Coast Fieldtrip

A 2-D Petroleum System Model for the Vallecitos Syncline, San Joaquin Basin, California *

Project Document. BASE - Basement fracturing and weathering on- and offshore Norway Genesis, age, and landscape development

Figure 1: PEDL 155 Location Map

Licence Relinquishment Report. P.1400 Block 12/30. First Oil Expro Ltd

Relinquishment Report. Licence P2016 Block 205/4c

BERG-HUGHES CENTER FOR PETROLEUM AND SEDIMENTARY SYSTEMS. Department of Geology and Geophysics College of Geosciences

RELINQUISHMENT REPORT. UK Traditional Licence P Blocks 12/16b & 12/17b. First Oil Expro Limited (Operator, 46.67%)

Hydrocarbon Trap Classification Based on Associated Gas Chimneys

Hydrocarbon Processing Techniques

Education Days Moscow Opening Session

Search and Discovery Article #10916 (2017)** Posted February 27, 2017

High Resolution Field-based Studies of Hydrodynamics Examples from the North Sea

Kinetics of the Opal-A to Opal-CT Phase Transition in Low- and High-TOC Siliceous Shale Source Rocks*

UK Onshore Licence PEDL 153 Relinquishment Report September 2010

Facies Distribution and Impact on Petroleum Migration in the Canterbury Basin, New Zealand

3-4 year research program funded by GeoScience BC, Industry Collaborators NSERC Collaborative Research Development. E. Munson - R.

Ministry of Oil and Minerals Petroleum Exploration & Production Authority BLOCK 85 (Al Uqlah North)

technology workflow map

EGAS. Ministry of Petroleum

Tim Carr - West Virginia University

Enhanced Formation Evaluation of Shales Using NMR Secular Relaxation*

Petroleum Systems Modelling for Petroleum Prospectivity Analysis in the Cooper Basin, Australia

WEJCO. Exploration & Production. Eagle s Talon Prospect. The Eagle s Talon Prospect is located in south eastern Karnes County,

Distibution of overpressure in the Norwegian Continental Shelf

Depositional History and Petroleum Potential of Ombilin Basin, West Sumatra - Indonesia, Based on Surface Geological Data*

Reservoir Type and Main Controlling Factors of Reservoir Forming in Block T of South Buir Sag

Course title: Exploration Economics, Risk Analysis and Prospect Evaluation

Steve Cumella 1. Search and Discovery Article # (2009) Posted July 30, Abstract

RWE Dea UK SNS Limited (50%), Faroe Petroleum (UK) Limited

Exploration research at SINTEF Petroleum

Sequence Stratigraphy of the Upper Cretaceous Niobrara Formation, A Bench, Wattenberg Field, Denver Julesburg Basin, Colorado*

Integrated Study Leading to Discovery of Thin Pay Sands and Challenges Associated with Development. Shaikh Abdul Azim

Hague and London Oil Plc

Debra K. Gomez 1 and David Brewster 2. Search and Discovery Article #10843 (2016)** Posted March 21, Abstract

P1794 Relinquishment Document Blocks 22/2d, 22/3c & 22/4c

Subsurface Geology and Resource Exploration

THE NORTH SUMATERA BASIN : GEOLOGICAL FRAMEWORK & PETROLEUM SYSTEM REVIEW

RELINQUISHMENT REPORT. License P1546 Block April 2009

Estimation of Pore Pressure from Well logs: A theoretical analysis and Case Study from an Offshore Basin, North Sea

Unconventional Shale Plays in MT

Israel: Seeing Deeper Imaging new play concepts with Clari-Fi broadband reprocessing

Bulletin of Earth Sciences of Thailand. A study of Reservoir Connectivity in the Platong Field, Pattani Basin, Gulf of Thailand. Hathairat Roenthon

EGAS. Ministry of Petroleum

BACK TO BASICS WHY THE TORRES BASIN COULD BE A COMPANY MAKER Papua New Guinea :PPL326 A Frontier Basin

An Analytic Approach to Sweetspot Mapping in the Eagle Ford Unconventional Play

RESERVOIR CHARACTERIZATION USING SEISMIC AND WELL LOGS DATA (A CASE STUDY OF NIGER DELTA)

Reservoirs and Production

Controls on clastic systems in the Angoche basin, Mozambique: tectonics, contourites and petroleum systems

Ministry of Oil and Minerals Petroleum Exploration & Production Authority BLOCK 6 (Iryam)

The Application of Data Conditioning, Frequency Decomposition, and RGB Colour Blending in the Gohta Discovery (Barents Sea, Norway)*

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

Overview of Selected Shale Plays in New Mexico*

KENYA ONSHORE, LAMU BASIN Block L14 FARM- IN OPPORTUNITY

P1488 DECC Relinquishment Report OMV (U.K.) Ltd.

Transcription:

Migration Lag - What is it and how it affects Charge Risk and Fluid Properties* Zhiyong He 1 Search and Discovery Article #42014 (2017)** Posted February 20, 2017 *Adapted from oral presentation given at AAPG Hedberg Conference, The Future of Basin and Petroleum Systems Modeling, Santa Barbara, California, April 3-8, 2016 **Datapages 2017 Serial rights given by author. For all other rights contact author directly. 1 ZetaWare, Inc., Sugar Land, TX, USA (zhe@zetaware.com) Abstract Traditionally one of the main goals of petroleum system analysis is to determine timing of petroleum generation relative to timing of trap formation. The idea is that if the trap formed later than the oil generation phase, it may miss the oil charge, or capture the late gas phase rather than oil. In recent years, there have been many oil discoveries in reservoirs that are deposited after the main oil generation phase. It seems that there is a time lag between oil generation and charging of reservoirs. In many cases, such lag has been estimated to be between 5 and 20 million years. In this paper, we will examine the mechanisms for this apparent lag, and how we could account for it in assessing petroleum system risks. Once we understand how it works, we may see that the processes, which cause the lag, can significantly affect charge risk and fluid type prediction. During hydrocarbon generation, the initial HC fluid generated is taken up by the source rock itself: by adsorption to the organic matter and partially filling the pore space in the source rock interval. Primary migration out of the source rock then happens. The lag time between the beginning of generation and primary migration (primary migration lag) depends on the rate of generation, and the volumes required to satisfy adsorption and saturation thresholds. Typically, this may take about 10 to 20% of the entire duration of the hydrocarbon generation window, or more if the source rock has more reservoir-like properties (inter-bedded siltstone, organic porosity, etc). Once the oil enters the first carrier bed, some of the initial volume is used to establish the minimum saturation needed to continue migration, and some of it is used to fill the micro and macro traps before it reaches the potential trap we may drill. This

time lag depends on the rate of generation (again), and the saturation and thickness of the waste zone formed by the micro traps, and the size and number of larger traps it has to fill before reaching our target trap. If the target trap is not at the first carrier level but shallower, then the oil has to vertically migrate some distance to reach our trap. In that process, it also has to fill the sand intervals between the first carrier bed and the trap to either spill point or seal capacity. Time will again be consumed as these intermediate traps are being filled. Observation and simple estimates will show this time can be very significant. Globally, there is a distinct distribution of fluid types in many basins, that the deeper fields are more likely to be gas, and shallower fields are more likely oil. This is also true laterally that up dip traps are more likely oil and deeper traps in the basin enter are more likely gas condensates. I believe these are at least partially a result of the migration lag process. Reference Cited Hao, F., X. Zhou, Y. Zhu, X. Bao, and Y. Yang, 2009, Charging of the Neogene Penglai 19-3 field, Bohai Bay Basin, China: Oil accumulation in a young trap in an active fault zone: AAPG Bulletin, v. 90/2, p. 155-179.

AAPG HEDBERG CONFERENCE THE FUTURE OF BASIN AND PETROLEUM SYSTEMS MODELING APRIL 3-8, 2016 SANTA BARBARA, CALIFORNIA, USA Migration Lag - What Is It & How It Affects Charge Risk & Fluid Properties Zhiyong He ZetaWare, Inc. ZetaWare, Inc.

Introduction The literature is full of articles emphasizing timing of generation relative to trap or seal formation, and people want to know when generation occurs and exploration managers are worried that the source rock may be past oil window, and over mature. However, more and more examples show that reservoirs can receive charge from fluids generated before trap, or seal formation, sometimes even before the reservoirs are deposited. In the two examples presented here, oil generation happened 10 to 20 million years before reservoirs were deposited. The source rock is at temperatures above 200 C today, and the younger reservoirs produce low maturity, low API and low GOR oil. Another good example is the West of Shetlands (Foinaven and Schiehallion oil fields). The Jurassic source rock enters gas window at end of Cretaceous, but the lower Tertiary reservoirs contain under saturated oil. The motel and remigration was proposed in the 90s to explain the observation. I believe, by reasoning presented here, in different degrees this should be the normal process in all basins.

The Petroleum System Chart Event Source Oil Gen. Gas Gen. Reservoir Seal Trap Reservoirs were deposited post oil generation. Trap and seal formed in last 5 millions years. Should we drill / farm in the prospect? What will we find in the reservoirs (water, gas, oil)?

Example 1. This is a typical deep-water GoM burial history showing timing and maturity of the Tithonian source rock. It went through oil window between 10 and 20 million years ago. The main reservoirs in this area are middle Miocene, and some as young as Pleistocene. Oil Generation Reservoir dep. Reservoirs Source

Prevailing explanation of this phenomenon is the so called migration lag. The early oil generated at about 15 million years ago, migrates into the first carrier beds immediately above the source. It then laterally migrates, fills and spills and accumulates in the higher locations. While it is doing that, the carrier bed its self is buried deeper. When the seal capacity is reached, it continues to migrate up, to the next carrier. At each level, a few millions years is spend to fill the rocks. Only in the last 5 million yeas or so, the Miocene and Pliocene reservoirs are being filled with low maturity oil, while the source is generating gas to flush out the oil in the first carrier. Pay Vertical migration/leaking Lateral migration/filling/spilling Source

Migration Lag: Early Generated Volumes of HC consumed by Carrier Beds Top Cretaceous Carriers & traps Source Modified from J. Carl Fiduk et el, 2014 Retention in source rock and first carrier intervals consumes significant amount of hydrocarbons in structure and stratigraphic traps (5-30 mmboe/km2 by my estimate) before it enters the lower Tertiary formation. Additional retention by filling & spilling in carrier beds in the lower Tertiary further delays entry into the Miocene reservoirs.

Main reservoirs MHZ Fm Main Source SHJ3 Figure modified from Fang Hao et al.

Exampel 2. Bohai. This example shows that although the source rock is in the gas window today, and went into gas window 10-20 million years ago (see next slide), the main reservoirs in the Ng/Nm (Pliocene) reservoirs are mostly low maturity oil in the region. Penlai 19-3 field (4.5 bln bbls) 3 km 120 C 5 km 190 C SHJ Source rock Geothermal gradient = 36 C/km Figure modified from Fang Hao et al, AAPG Bulletin, v. 93, no. 2

How Long does it take the water to reach the bucket? We have to have the bucket before we pore, right?

How Long does it take the water to reach the bucket? The bucket may not receive any water as there may not be enough water to reach it.

Timing of Generation and Timing of Charge are Different: Migration Lag Gussow, 1954 a b c d Generation Generation Expulsion threshold time Generation Generation oil window gas window Trap filling time depends on where it is in relation to the kitchen. Oil continues to migrate and fill traps while gas is being generated in the kitchen. There are many traps, micro/macro, structure/stratigraphic down dip from these traps that can much further exacerbate the timing problem.

Accounting for migration lag No Lag Lag

Charging Order of the Migration Process A Volume expelled (from kerogen) Residual saturation Retained by traps along the pathway Trap Leak/spill B C D E Available volume, expelled from kerogen after satisfying adsorption, will first need to saturate pores within and near the source rock (B, unconventional) and then fill the migration paths (C, micro/macro traps and residue saturation) before reaching the trap (D, our prospect). If trap is filled, then leak or spill occurs (E). If volume expelled is less than B + C, our trap is not charged. This is a high probability when source rock is average or weak, or the target trap is up dip or shallow. Probability of half filling our trap is small as the expelled volume has to be just more than B + C, but less than B+C+D. Don t worry about your trap being full or not, worry about if it will be filled at all.

Retained Volumes: Limitation of Data & Uncertainty 1000 ft Seismic 400 ft Log 2 ft Core 5 mm thin section Retained volumes depends on the heterogeneity and structure complexity of the source and carrier beds. Most of that is below seismic resolution, and even log resolution. For example, 10% saturation over 200 meters retains 10 mmbls/km2 Eagle Ford (core and thin section) retains ~50% of the hydrocarbons generated (~15 mmbls/km2 over 30 meters).

Fluid Properties Along Migration Route Central graben area, North Sea. Bulk fluid properties (API and GOR)and maturity of fluids will decrease toward the migration front. On the outer edges of basin, traps are charged more recently. Smaller traps near the kitchen more likely to be gas. Seismic mapping is not detailed enough to model the accumulations and volumes.

Can We Predict Fluid Properties? Most traps can only hold a very small fraction of the volume expelled. The trapped fluid is less mature if the lag volume is large, and vice versa. Since the retained/lost volume is unknown, fluid property in a trap cannot be accurately predicted using a model. The overall trend along a migration path is predictable as shown in the previous slide, and by the Gussov example. Small traps near the kitchen more likely to be gas. Larger traps will have an more moderate properties as it captures fluids with a larger range of maturity. The uncertainty of migration lag/loss makes it fruitless to use complex compositional kinetics trying to predict fluid properties. A trap can contain gas even when the source rock makes mostly oil. The retained oil volume near and within the source will crack to more gas and increase the GOR of the system dramatically. We should stick to predicting and mapping such trends rather than trying to calculate the API and GOR for a prospect.

API and GOR trends in a basin Variation in fluid type and properties are complex in a basin. There is an overall tendency to have more oil, and lower GOR at shallower depth. This may be partly due to migration lag, particularly if migration is dominantly lateral. This can help us predict fluid up and down dip from known accumulations.

The Petroleum System Chart (Again) Event Source Oil Gen. Gas Gen. Reservoir Seal Trap Migration Migration and charging of traps will continue post generation. The youngest and up dip most traps are being charged most recently with fluids that was generated earliest. Simplistic timing analysis like this may lead to missed opportunities.

What to Do? Because of unknowns (lag/loss volume and others), there are too many possibilities for any deterministic model to provide the right answer. One of the approaches we take is to run different scenarios of migration losses (lag) source rock potential. Combining the results to create charge risk map shown here using Trinity software developed by ZetaWare, Inc. The structure closures with darker green color indicate they are filled in more of the scenarios. Light Yellow to light green colored structures are less likely to receive charge.

Other Reasons for Late Charging Evolving maturation window from structure low to high. Natural kerogen conversion extends to higher maturity than most kinetics models indicate. Late contribution from secondary low quality high activation energy source rocks Volume increase from cracking of retained oil in source rock and deeper reservoirs. Loss of retention volume from compaction and diagenesis in deeper carrier/reservoirs Structural tilting of deeper carrier/reservoirs (remigration) Expansion of gas volumes and phase separation during uplift and erosion Conclusion: If the basin is experiencing burial or structure deformation, migration is going on and traps are being charged present day.

Conclusions: Volume of hydrocarbons forming saturation in source rocks (think unconventional) and along migration paths, and retained in traps (sub seismic or larger) between our target and the source are the migration loss. It is that which causes the migration lag. The term time lag is used. But it is not related to the rate of migration. It is the time needed to generate this volume. The larger this volume is the longer it takes. The stronger the source rock is, the shorter it takes. The size of this volume (migration loss) will determine when and whether up dip traps will receive charge, and type and properties (important?) of charged fluids if any. The lost/retained volume cannot be determined on seismic so we need to engage scenario testing, and use geological analogs. There are many other factors that cause continued migration Timing is not an important factor in exploration risk. ZetaWare, Inc.